{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "455ed628",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pandas import DataFrame, Series\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "21a266d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "537c7826",
   "metadata": {},
   "outputs": [],
   "source": [
    "ansu = pd.read_excel('./data/竞争数据/商品交易数据/安速全店商品交易数据.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "7238db4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(141, 8)"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ansu.shape # 形状"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "50d4d25a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49,)"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ansu['商品'].unique().shape # 商品种类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "688ef89c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 增长率\n",
    "# 市场占有率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "3774a011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>商品</th>\n",
       "      <th>行业排名</th>\n",
       "      <th>交易指数</th>\n",
       "      <th>交易增长幅度</th>\n",
       "      <th>支付转化指数</th>\n",
       "      <th>操作</th>\n",
       "      <th>交易金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>3</td>\n",
       "      <td>310517</td>\n",
       "      <td>0.6037</td>\n",
       "      <td>1445</td>\n",
       "      <td>趋势分析</td>\n",
       "      <td>3002740.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          日期                              商品  行业排名    交易指数  交易增长幅度  支付转化指数  \\\n",
       "0 2018-07-01  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端     3  310517  0.6037    1445   \n",
       "\n",
       "     操作        交易金额  \n",
       "0  趋势分析  3002740.75  "
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ansu.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "a3fbcd5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "商品\n",
       "10枚装日本进口安速小强恢恢蟑螂屋诱捕捉器杀药贴环保无毒包邮          217061.51\n",
       "✅【10枚装】日本进口安速小强恢恢蟑螂屋捕捉器杀药贴家用全窝端         812113.82\n",
       "【20枚装】日本进口安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器灭蟑小屋          58785.41\n",
       "【6枚装】日本安速小强恢恢蟑螂屋捕捉器药厨房灭杀强力家用贴清           33178.59\n",
       "冲销量日本安速小黑帽蟑螂屋蟑螂药家用强力灭蟑清安全无毒小强            32034.34\n",
       "原装正品日本安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器小屋20枚包邮           32627.73\n",
       "原装进口日本安速红阿斯杀虫烟雾剂熏杀灭跳蚤臭虫螨虫蟑螂20克          480525.86\n",
       "安速红阿斯杀虫烟雾剂烟雾弹杀灭蟑螂跳蚤螨虫臭虫药熏蒸剂10克装          79797.46\n",
       "德国拜耳进口蚂蚁药拜灭易灭蚁饵剂除杀蚂蚁无毒家用室内全窝端            93400.98\n",
       "日本 安速EARTH小果蝇恢恢杀蝇饵剂灭苍蝇小飞虫神器诱捕捕捉器         33633.57\n",
       "日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚            34503.54\n",
       "日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚包邮          71817.70\n",
       "日本ARS安速小黑帽蟑螂屋盒子无毒无味灭小强安全室内12枚蟑螂药         81303.15\n",
       "日本安速ARS地球制药earth小飞虫恢恢果蝇诱捕器单只装 0315       40441.40\n",
       "日本安速小强恢恢蟑螂屋20片蟑螂药灭蟑螂克星家用全窝端              25693.46\n",
       "日本安速小强恢恢蟑螂屋6片家用无毒蟑螂贴捕捉器克星家用全窝端          168503.43\n",
       "日本安速小强恢恢蟑螂屋家用杀蟑胶饵小蟑螂药无毒蟑螂克星全窝端          919683.22\n",
       "日本安速小强恢恢蟑螂屋捕捉器神器厨房清灭强力贴克星家用全窝端          423102.79\n",
       "日本安速小强恢恢蟑螂屋灭蟑螂强力捕捉器诱捕器除杀蟑螂清药贴           142604.89\n",
       "日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端        13294975.97\n",
       "日本安速小强恢恢蟑螂屋药6片 无毒捕捉器强力灭清克星家用全窝端         415398.34\n",
       "日本安速小黑帽小强黑克杀蟑饵剂9枚 蟑螂药屋蟑螂克星家用全窝端         320927.90\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑清除小强灭蟑螂药胶饵家用无毒           31468.78\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑螂安全无毒小强恢恢12枚蟑螂药          62256.79\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑螂药环保无毒无味除小强包邮          1083611.82\n",
       "日本安速小黑帽蟑螂屋灭蟑螂药家用厨房灭蟑清蟑螂克星全窝端无毒           35358.87\n",
       "日本安速小黑帽蟑螂屋蟑螂药克星家用安全无毒强力灭蟑清全窝端！          279383.03\n",
       "日本安速杀蟑气雾剂精纯无味型2瓶 灭蟑螂药杀虫剂家用潮虫百虫灵          52292.37\n",
       "日本安速杀蟑气雾剂精纯无味型450ml2瓶灭蟑螂药杀虫剂家用百虫灵        55893.08\n",
       "日本安速红阿斯杀虫烟雾剂20g弹烟熏灭跳蚤蟑螂药克星家用全窝端         193282.28\n",
       "日本安速红阿斯杀虫烟雾剂弹10g烟熏灭跳蚤蟑螂克星家用全窝端           60200.62\n",
       "日本安速红阿斯杀虫烟雾剂弹烟熏强力灭跳蚤蟑螂药克星家用全窝端          116255.35\n",
       "日本安速红阿斯烟雾杀虫剂灭跳蚤药烟弹家用神器螨虫克星送蟑螂屋          762628.32\n",
       "日本安速老鼠吱吱板4片 老鼠贴强力粘鼠板驱鼠灭鼠器老鼠胶药家用          30567.08\n",
       "日本安速蚂蚁药灭蚂蚁清驱除杀红蚂蚁小黄蚂蚁全窝端家用室内花园          444230.43\n",
       "日本安速蟑螂小屋灭除杀蟑螂药一窝端神器捕捉器家用克星小强恢恢          881587.79\n",
       "日本安速蟑螂药12枚家用灭杀蟑螂屋胶饵剂清强力捕捉器克星全窝端         184701.40\n",
       "日本安速除螨虫喷雾剂床上免洗去螨虫神器喷剂家用非杀菌送除螨包           41991.71\n",
       "日本安速除螨虫喷雾剂床上免洗祛去螨虫喷剂家用杀菌送除螨包神器          358839.15\n",
       "日本进口安速天然除螨喷雾剂350ml床上免洗家用正品螨虫非除杀菌        304915.11\n",
       "日本进口安速小强恢恢杀蟑灭蟑螂屋10枚捕捉器不含蟑螂药            2354769.41\n",
       "日本进口安速小强恢恢灭蟑螂屋药无毒捕捉器克星家用强力清全窝端         3685204.19\n",
       "日本进口安速小强恢恢蟑螂屋5片家用无毒贴捕捉器克星家用全窝端           19943.68\n",
       "日本进口安速小强恢恢蟑螂屋5片药捕捉器灭杀蟑螂克星家用全窝端          215689.30\n",
       "日本进口安速小黑帽蟑螂屋杀小强恢恢灭蟑螂药环保无毒无刺激正品           28277.99\n",
       "日本进口安速杀蝇饵剂苍蝇药1盒 粘蝇纸灭苍蝇贴强力神家用捕蝇器         293644.17\n",
       "日本进口安速红阿斯杀虫烟雾剂弹烟熏灭跳蚤蟑螂克星家用全窝端           622279.57\n",
       "日本进口安速红阿斯杀虫烟雾剂跳蚤螨虫蚂蚁药蟑螂克星家用全窝端           19166.12\n",
       "现货 日本正品安速小黑帽蟑螂屋杀小强灭蟑螂药环保无毒无刺激           105556.48\n",
       "Name: 交易金额, dtype: float64"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ansu.groupby('商品').交易金额.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "3274a30b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "商品\n",
       "10枚装日本进口安速小强恢恢蟑螂屋诱捕捉器杀药贴环保无毒包邮          0.7070\n",
       "✅【10枚装】日本进口安速小强恢恢蟑螂屋捕捉器杀药贴家用全窝端        -0.7989\n",
       "【20枚装】日本进口安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器灭蟑小屋         1.8643\n",
       "【6枚装】日本安速小强恢恢蟑螂屋捕捉器药厨房灭杀强力家用贴清          0.0473\n",
       "冲销量日本安速小黑帽蟑螂屋蟑螂药家用强力灭蟑清安全无毒小强          42.0143\n",
       "原装正品日本安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器小屋20枚包邮          0.6049\n",
       "原装进口日本安速红阿斯杀虫烟雾剂熏杀灭跳蚤臭虫螨虫蟑螂20克         -1.1320\n",
       "安速红阿斯杀虫烟雾剂烟雾弹杀灭蟑螂跳蚤螨虫臭虫药熏蒸剂10克装         0.0000\n",
       "德国拜耳进口蚂蚁药拜灭易灭蚁饵剂除杀蚂蚁无毒家用室内全窝端           0.7299\n",
       "日本 安速EARTH小果蝇恢恢杀蝇饵剂灭苍蝇小飞虫神器诱捕捕捉器        0.8856\n",
       "日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚           0.3812\n",
       "日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚包邮         0.2706\n",
       "日本ARS安速小黑帽蟑螂屋盒子无毒无味灭小强安全室内12枚蟑螂药        1.0247\n",
       "日本安速ARS地球制药earth小飞虫恢恢果蝇诱捕器单只装 0315      4.3643\n",
       "日本安速小强恢恢蟑螂屋20片蟑螂药灭蟑螂克星家用全窝端             0.2840\n",
       "日本安速小强恢恢蟑螂屋6片家用无毒蟑螂贴捕捉器克星家用全窝端         -0.9038\n",
       "日本安速小强恢恢蟑螂屋家用杀蟑胶饵小蟑螂药无毒蟑螂克星全窝端         -1.2742\n",
       "日本安速小强恢恢蟑螂屋捕捉器神器厨房清灭强力贴克星家用全窝端         -0.2975\n",
       "日本安速小强恢恢蟑螂屋灭蟑螂强力捕捉器诱捕器除杀蟑螂清药贴           0.9097\n",
       "日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端          0.0609\n",
       "日本安速小强恢恢蟑螂屋药6片 无毒捕捉器强力灭清克星家用全窝端        -1.0199\n",
       "日本安速小黑帽小强黑克杀蟑饵剂9枚 蟑螂药屋蟑螂克星家用全窝端         1.6796\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑清除小强灭蟑螂药胶饵家用无毒         -0.0597\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑螂安全无毒小强恢恢12枚蟑螂药        -0.6413\n",
       "日本安速小黑帽蟑螂屋家用强力灭蟑螂药环保无毒无味除小强包邮           0.3620\n",
       "日本安速小黑帽蟑螂屋灭蟑螂药家用厨房灭蟑清蟑螂克星全窝端无毒          0.2031\n",
       "日本安速小黑帽蟑螂屋蟑螂药克星家用安全无毒强力灭蟑清全窝端！         -0.8394\n",
       "日本安速杀蟑气雾剂精纯无味型2瓶 灭蟑螂药杀虫剂家用潮虫百虫灵         6.8966\n",
       "日本安速杀蟑气雾剂精纯无味型450ml2瓶灭蟑螂药杀虫剂家用百虫灵       0.1847\n",
       "日本安速红阿斯杀虫烟雾剂20g弹烟熏灭跳蚤蟑螂药克星家用全窝端         1.5992\n",
       "日本安速红阿斯杀虫烟雾剂弹10g烟熏灭跳蚤蟑螂克星家用全窝端          0.9705\n",
       "日本安速红阿斯杀虫烟雾剂弹烟熏强力灭跳蚤蟑螂药克星家用全窝端         -0.0313\n",
       "日本安速红阿斯烟雾杀虫剂灭跳蚤药烟弹家用神器螨虫克星送蟑螂屋          0.4796\n",
       "日本安速老鼠吱吱板4片 老鼠贴强力粘鼠板驱鼠灭鼠器老鼠胶药家用         0.6603\n",
       "日本安速蚂蚁药灭蚂蚁清驱除杀红蚂蚁小黄蚂蚁全窝端家用室内花园        107.3207\n",
       "日本安速蟑螂小屋灭除杀蟑螂药一窝端神器捕捉器家用克星小强恢恢          2.2000\n",
       "日本安速蟑螂药12枚家用灭杀蟑螂屋胶饵剂清强力捕捉器克星全窝端        -0.5510\n",
       "日本安速除螨虫喷雾剂床上免洗去螨虫神器喷剂家用非杀菌送除螨包          6.6480\n",
       "日本安速除螨虫喷雾剂床上免洗祛去螨虫喷剂家用杀菌送除螨包神器         -0.3074\n",
       "日本进口安速天然除螨喷雾剂350ml床上免洗家用正品螨虫非除杀菌       11.5780\n",
       "日本进口安速小强恢恢杀蟑灭蟑螂屋10枚捕捉器不含蟑螂药            -0.0037\n",
       "日本进口安速小强恢恢灭蟑螂屋药无毒捕捉器克星家用强力清全窝端         -0.5550\n",
       "日本进口安速小强恢恢蟑螂屋5片家用无毒贴捕捉器克星家用全窝端          1.1675\n",
       "日本进口安速小强恢恢蟑螂屋5片药捕捉器灭杀蟑螂克星家用全窝端          0.7584\n",
       "日本进口安速小黑帽蟑螂屋杀小强恢恢灭蟑螂药环保无毒无刺激正品          0.1198\n",
       "日本进口安速杀蝇饵剂苍蝇药1盒 粘蝇纸灭苍蝇贴强力神家用捕蝇器         0.0648\n",
       "日本进口安速红阿斯杀虫烟雾剂弹烟熏灭跳蚤蟑螂克星家用全窝端          -0.6023\n",
       "日本进口安速红阿斯杀虫烟雾剂跳蚤螨虫蚂蚁药蟑螂克星家用全窝端          0.7317\n",
       "现货 日本正品安速小黑帽蟑螂屋杀小强灭蟑螂药环保无毒无刺激           1.4556\n",
       "Name: 交易增长幅度, dtype: float64"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 关于变化率的平均值统计，建议采用几何平均数的方式来运算\n",
    "ansu.groupby('商品').交易增长幅度.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "a5401e2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21     105.9255\n",
       "37       2.6015\n",
       "71      -0.3760\n",
       "110     -0.6899\n",
       "133     -0.1404\n",
       "Name: 交易增长幅度, dtype: float64"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "values = ansu[ansu.商品 == '日本安速蚂蚁药灭蚂蚁清驱除杀红蚂蚁小黄蚂蚁全窝端家用室内花园'].交易增长幅度\n",
    "values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "4b6a0a65",
   "metadata": {},
   "outputs": [],
   "source": [
    "### 分组聚合（自定义函数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "8927b40b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_rate_of_ncrease(values):\n",
    "    res = 1\n",
    "    for v in values:\n",
    "        res = (v+1) * res\n",
    "    return res - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "693717ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 交易增长幅度\n",
    "ROI = ansu.groupby('商品').交易增长幅度.apply(calculate_increase)\n",
    "# 交易额占比\n",
    "TOP = ansu.groupby('商品').交易金额.sum() / ansu.groupby('商品').交易金额.sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "6049cd3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品</th>\n",
       "      <th>交易增长幅度</th>\n",
       "      <th>交易额占比</th>\n",
       "      <th>交易总额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10枚装日本进口安速小强恢恢蟑螂屋诱捕捉器杀药贴环保无毒包邮</td>\n",
       "      <td>0.373212</td>\n",
       "      <td>0.007203</td>\n",
       "      <td>217061.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>✅【10枚装】日本进口安速小强恢恢蟑螂屋捕捉器杀药贴家用全窝端</td>\n",
       "      <td>-0.606621</td>\n",
       "      <td>0.026948</td>\n",
       "      <td>812113.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【20枚装】日本进口安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器灭蟑小屋</td>\n",
       "      <td>2.104910</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>58785.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>【6枚装】日本安速小强恢恢蟑螂屋捕捉器药厨房灭杀强力家用贴清</td>\n",
       "      <td>0.047300</td>\n",
       "      <td>0.001101</td>\n",
       "      <td>33178.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>冲销量日本安速小黑帽蟑螂屋蟑螂药家用强力灭蟑清安全无毒小强</td>\n",
       "      <td>42.014300</td>\n",
       "      <td>0.001063</td>\n",
       "      <td>32034.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>原装正品日本安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器小屋20枚包邮</td>\n",
       "      <td>0.604900</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>32627.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>原装进口日本安速红阿斯杀虫烟雾剂熏杀灭跳蚤臭虫螨虫蟑螂20克</td>\n",
       "      <td>-0.771406</td>\n",
       "      <td>0.015945</td>\n",
       "      <td>480525.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>安速红阿斯杀虫烟雾剂烟雾弹杀灭蟑螂跳蚤螨虫臭虫药熏蒸剂10克装</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002648</td>\n",
       "      <td>79797.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>德国拜耳进口蚂蚁药拜灭易灭蚁饵剂除杀蚂蚁无毒家用室内全窝端</td>\n",
       "      <td>0.091238</td>\n",
       "      <td>0.003099</td>\n",
       "      <td>93400.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>日本 安速EARTH小果蝇恢恢杀蝇饵剂灭苍蝇小飞虫神器诱捕捕捉器</td>\n",
       "      <td>0.885600</td>\n",
       "      <td>0.001116</td>\n",
       "      <td>33633.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚</td>\n",
       "      <td>0.381200</td>\n",
       "      <td>0.001145</td>\n",
       "      <td>34503.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚包邮</td>\n",
       "      <td>0.070350</td>\n",
       "      <td>0.002383</td>\n",
       "      <td>71817.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>日本ARS安速小黑帽蟑螂屋盒子无毒无味灭小强安全室内12枚蟑螂药</td>\n",
       "      <td>0.141982</td>\n",
       "      <td>0.002698</td>\n",
       "      <td>81303.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>日本安速ARS地球制药earth小飞虫恢恢果蝇诱捕器单只装 0315</td>\n",
       "      <td>4.364300</td>\n",
       "      <td>0.001342</td>\n",
       "      <td>40441.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋20片蟑螂药灭蟑螂克星家用全窝端</td>\n",
       "      <td>0.284000</td>\n",
       "      <td>0.000853</td>\n",
       "      <td>25693.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋6片家用无毒蟑螂贴捕捉器克星家用全窝端</td>\n",
       "      <td>-0.762398</td>\n",
       "      <td>0.005591</td>\n",
       "      <td>168503.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋家用杀蟑胶饵小蟑螂药无毒蟑螂克星全窝端</td>\n",
       "      <td>-0.808739</td>\n",
       "      <td>0.030518</td>\n",
       "      <td>919683.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋捕捉器神器厨房清灭强力贴克星家用全窝端</td>\n",
       "      <td>-0.320284</td>\n",
       "      <td>0.014040</td>\n",
       "      <td>423102.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋灭蟑螂强力捕捉器诱捕器除杀蟑螂清药贴</td>\n",
       "      <td>0.946365</td>\n",
       "      <td>0.004732</td>\n",
       "      <td>142604.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>-0.267680</td>\n",
       "      <td>0.441164</td>\n",
       "      <td>13294975.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋药6片 无毒捕捉器强力灭清克星家用全窝端</td>\n",
       "      <td>-0.707637</td>\n",
       "      <td>0.013784</td>\n",
       "      <td>415398.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>日本安速小黑帽小强黑克杀蟑饵剂9枚 蟑螂药屋蟑螂克星家用全窝端</td>\n",
       "      <td>1.037139</td>\n",
       "      <td>0.010649</td>\n",
       "      <td>320927.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>日本安速小黑帽蟑螂屋家用强力灭蟑清除小强灭蟑螂药胶饵家用无毒</td>\n",
       "      <td>-0.059700</td>\n",
       "      <td>0.001044</td>\n",
       "      <td>31468.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>日本安速小黑帽蟑螂屋家用强力灭蟑螂安全无毒小强恢恢12枚蟑螂药</td>\n",
       "      <td>-0.641300</td>\n",
       "      <td>0.002066</td>\n",
       "      <td>62256.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>日本安速小黑帽蟑螂屋家用强力灭蟑螂药环保无毒无味除小强包邮</td>\n",
       "      <td>-0.374223</td>\n",
       "      <td>0.035957</td>\n",
       "      <td>1083611.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>日本安速小黑帽蟑螂屋灭蟑螂药家用厨房灭蟑清蟑螂克星全窝端无毒</td>\n",
       "      <td>0.203100</td>\n",
       "      <td>0.001173</td>\n",
       "      <td>35358.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>日本安速小黑帽蟑螂屋蟑螂药克星家用安全无毒强力灭蟑清全窝端！</td>\n",
       "      <td>-0.732201</td>\n",
       "      <td>0.009271</td>\n",
       "      <td>279383.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>日本安速杀蟑气雾剂精纯无味型2瓶 灭蟑螂药杀虫剂家用潮虫百虫灵</td>\n",
       "      <td>8.163685</td>\n",
       "      <td>0.001735</td>\n",
       "      <td>52292.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>日本安速杀蟑气雾剂精纯无味型450ml2瓶灭蟑螂药杀虫剂家用百虫灵</td>\n",
       "      <td>0.068937</td>\n",
       "      <td>0.001855</td>\n",
       "      <td>55893.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>日本安速红阿斯杀虫烟雾剂20g弹烟熏灭跳蚤蟑螂药克星家用全窝端</td>\n",
       "      <td>1.399735</td>\n",
       "      <td>0.006414</td>\n",
       "      <td>193282.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>日本安速红阿斯杀虫烟雾剂弹10g烟熏灭跳蚤蟑螂克星家用全窝端</td>\n",
       "      <td>0.970500</td>\n",
       "      <td>0.001998</td>\n",
       "      <td>60200.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>日本安速红阿斯杀虫烟雾剂弹烟熏强力灭跳蚤蟑螂药克星家用全窝端</td>\n",
       "      <td>-0.179423</td>\n",
       "      <td>0.003858</td>\n",
       "      <td>116255.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>日本安速红阿斯烟雾杀虫剂灭跳蚤药烟弹家用神器螨虫克星送蟑螂屋</td>\n",
       "      <td>-0.124798</td>\n",
       "      <td>0.025306</td>\n",
       "      <td>762628.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>日本安速老鼠吱吱板4片 老鼠贴强力粘鼠板驱鼠灭鼠器老鼠胶药家用</td>\n",
       "      <td>0.660300</td>\n",
       "      <td>0.001014</td>\n",
       "      <td>30567.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>日本安速蚂蚁药灭蚂蚁清驱除杀红蚂蚁小黄蚂蚁全窝端家用室内花园</td>\n",
       "      <td>63.054179</td>\n",
       "      <td>0.014741</td>\n",
       "      <td>444230.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>日本安速蟑螂小屋灭除杀蟑螂药一窝端神器捕捉器家用克星小强恢恢</td>\n",
       "      <td>0.706748</td>\n",
       "      <td>0.029254</td>\n",
       "      <td>881587.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>日本安速蟑螂药12枚家用灭杀蟑螂屋胶饵剂清强力捕捉器克星全窝端</td>\n",
       "      <td>-0.518839</td>\n",
       "      <td>0.006129</td>\n",
       "      <td>184701.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>日本安速除螨虫喷雾剂床上免洗去螨虫神器喷剂家用非杀菌送除螨包</td>\n",
       "      <td>6.648000</td>\n",
       "      <td>0.001393</td>\n",
       "      <td>41991.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>日本安速除螨虫喷雾剂床上免洗祛去螨虫喷剂家用杀菌送除螨包神器</td>\n",
       "      <td>-0.482535</td>\n",
       "      <td>0.011907</td>\n",
       "      <td>358839.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>日本进口安速天然除螨喷雾剂350ml床上免洗家用正品螨虫非除杀菌</td>\n",
       "      <td>8.440000</td>\n",
       "      <td>0.010118</td>\n",
       "      <td>304915.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>日本进口安速小强恢恢杀蟑灭蟑螂屋10枚捕捉器不含蟑螂药</td>\n",
       "      <td>-0.278871</td>\n",
       "      <td>0.078138</td>\n",
       "      <td>2354769.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>日本进口安速小强恢恢灭蟑螂屋药无毒捕捉器克星家用强力清全窝端</td>\n",
       "      <td>-0.594046</td>\n",
       "      <td>0.122285</td>\n",
       "      <td>3685204.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>日本进口安速小强恢恢蟑螂屋5片家用无毒贴捕捉器克星家用全窝端</td>\n",
       "      <td>1.167500</td>\n",
       "      <td>0.000662</td>\n",
       "      <td>19943.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>日本进口安速小强恢恢蟑螂屋5片药捕捉器灭杀蟑螂克星家用全窝端</td>\n",
       "      <td>0.183755</td>\n",
       "      <td>0.007157</td>\n",
       "      <td>215689.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>日本进口安速小黑帽蟑螂屋杀小强恢恢灭蟑螂药环保无毒无刺激正品</td>\n",
       "      <td>0.119800</td>\n",
       "      <td>0.000938</td>\n",
       "      <td>28277.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>日本进口安速杀蝇饵剂苍蝇药1盒 粘蝇纸灭苍蝇贴强力神家用捕蝇器</td>\n",
       "      <td>-0.229067</td>\n",
       "      <td>0.009744</td>\n",
       "      <td>293644.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>日本进口安速红阿斯杀虫烟雾剂弹烟熏灭跳蚤蟑螂克星家用全窝端</td>\n",
       "      <td>-0.639536</td>\n",
       "      <td>0.020649</td>\n",
       "      <td>622279.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>日本进口安速红阿斯杀虫烟雾剂跳蚤螨虫蚂蚁药蟑螂克星家用全窝端</td>\n",
       "      <td>0.731700</td>\n",
       "      <td>0.000636</td>\n",
       "      <td>19166.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>现货 日本正品安速小黑帽蟑螂屋杀小强灭蟑螂药环保无毒无刺激</td>\n",
       "      <td>1.337671</td>\n",
       "      <td>0.003503</td>\n",
       "      <td>105556.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    商品     交易增长幅度     交易额占比         交易总额\n",
       "0       10枚装日本进口安速小强恢恢蟑螂屋诱捕捉器杀药贴环保无毒包邮   0.373212  0.007203    217061.51\n",
       "1      ✅【10枚装】日本进口安速小强恢恢蟑螂屋捕捉器杀药贴家用全窝端  -0.606621  0.026948    812113.82\n",
       "2      【20枚装】日本进口安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器灭蟑小屋   2.104910  0.001951     58785.41\n",
       "3       【6枚装】日本安速小强恢恢蟑螂屋捕捉器药厨房灭杀强力家用贴清   0.047300  0.001101     33178.59\n",
       "4        冲销量日本安速小黑帽蟑螂屋蟑螂药家用强力灭蟑清安全无毒小强  42.014300  0.001063     32034.34\n",
       "5       原装正品日本安速小强恢恢蟑螂屋蟑螂捕捉器诱捕器小屋20枚包邮   0.604900  0.001083     32627.73\n",
       "6       原装进口日本安速红阿斯杀虫烟雾剂熏杀灭跳蚤臭虫螨虫蟑螂20克  -0.771406  0.015945    480525.86\n",
       "7      安速红阿斯杀虫烟雾剂烟雾弹杀灭蟑螂跳蚤螨虫臭虫药熏蒸剂10克装   0.000000  0.002648     79797.46\n",
       "8        德国拜耳进口蚂蚁药拜灭易灭蚁饵剂除杀蚂蚁无毒家用室内全窝端   0.091238  0.003099     93400.98\n",
       "9     日本 安速EARTH小果蝇恢恢杀蝇饵剂灭苍蝇小飞虫神器诱捕捕捉器   0.885600  0.001116     33633.57\n",
       "10       日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚   0.381200  0.001145     34503.54\n",
       "11     日本ARS安速小黑帽环保无毒灭蟑螂药无味除小强小黑屋12枚包邮   0.070350  0.002383     71817.70\n",
       "12    日本ARS安速小黑帽蟑螂屋盒子无毒无味灭小强安全室内12枚蟑螂药   0.141982  0.002698     81303.15\n",
       "13  日本安速ARS地球制药earth小飞虫恢恢果蝇诱捕器单只装 0315   4.364300  0.001342     40441.40\n",
       "14         日本安速小强恢恢蟑螂屋20片蟑螂药灭蟑螂克星家用全窝端   0.284000  0.000853     25693.46\n",
       "15      日本安速小强恢恢蟑螂屋6片家用无毒蟑螂贴捕捉器克星家用全窝端  -0.762398  0.005591    168503.43\n",
       "16      日本安速小强恢恢蟑螂屋家用杀蟑胶饵小蟑螂药无毒蟑螂克星全窝端  -0.808739  0.030518    919683.22\n",
       "17      日本安速小强恢恢蟑螂屋捕捉器神器厨房清灭强力贴克星家用全窝端  -0.320284  0.014040    423102.79\n",
       "18       日本安速小强恢恢蟑螂屋灭蟑螂强力捕捉器诱捕器除杀蟑螂清药贴   0.946365  0.004732    142604.89\n",
       "19      日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端  -0.267680  0.441164  13294975.97\n",
       "20     日本安速小强恢恢蟑螂屋药6片 无毒捕捉器强力灭清克星家用全窝端  -0.707637  0.013784    415398.34\n",
       "21     日本安速小黑帽小强黑克杀蟑饵剂9枚 蟑螂药屋蟑螂克星家用全窝端   1.037139  0.010649    320927.90\n",
       "22      日本安速小黑帽蟑螂屋家用强力灭蟑清除小强灭蟑螂药胶饵家用无毒  -0.059700  0.001044     31468.78\n",
       "23     日本安速小黑帽蟑螂屋家用强力灭蟑螂安全无毒小强恢恢12枚蟑螂药  -0.641300  0.002066     62256.79\n",
       "24       日本安速小黑帽蟑螂屋家用强力灭蟑螂药环保无毒无味除小强包邮  -0.374223  0.035957   1083611.82\n",
       "25      日本安速小黑帽蟑螂屋灭蟑螂药家用厨房灭蟑清蟑螂克星全窝端无毒   0.203100  0.001173     35358.87\n",
       "26      日本安速小黑帽蟑螂屋蟑螂药克星家用安全无毒强力灭蟑清全窝端！  -0.732201  0.009271    279383.03\n",
       "27     日本安速杀蟑气雾剂精纯无味型2瓶 灭蟑螂药杀虫剂家用潮虫百虫灵   8.163685  0.001735     52292.37\n",
       "28   日本安速杀蟑气雾剂精纯无味型450ml2瓶灭蟑螂药杀虫剂家用百虫灵   0.068937  0.001855     55893.08\n",
       "29     日本安速红阿斯杀虫烟雾剂20g弹烟熏灭跳蚤蟑螂药克星家用全窝端   1.399735  0.006414    193282.28\n",
       "30      日本安速红阿斯杀虫烟雾剂弹10g烟熏灭跳蚤蟑螂克星家用全窝端   0.970500  0.001998     60200.62\n",
       "31      日本安速红阿斯杀虫烟雾剂弹烟熏强力灭跳蚤蟑螂药克星家用全窝端  -0.179423  0.003858    116255.35\n",
       "32      日本安速红阿斯烟雾杀虫剂灭跳蚤药烟弹家用神器螨虫克星送蟑螂屋  -0.124798  0.025306    762628.32\n",
       "33     日本安速老鼠吱吱板4片 老鼠贴强力粘鼠板驱鼠灭鼠器老鼠胶药家用   0.660300  0.001014     30567.08\n",
       "34      日本安速蚂蚁药灭蚂蚁清驱除杀红蚂蚁小黄蚂蚁全窝端家用室内花园  63.054179  0.014741    444230.43\n",
       "35      日本安速蟑螂小屋灭除杀蟑螂药一窝端神器捕捉器家用克星小强恢恢   0.706748  0.029254    881587.79\n",
       "36     日本安速蟑螂药12枚家用灭杀蟑螂屋胶饵剂清强力捕捉器克星全窝端  -0.518839  0.006129    184701.40\n",
       "37      日本安速除螨虫喷雾剂床上免洗去螨虫神器喷剂家用非杀菌送除螨包   6.648000  0.001393     41991.71\n",
       "38      日本安速除螨虫喷雾剂床上免洗祛去螨虫喷剂家用杀菌送除螨包神器  -0.482535  0.011907    358839.15\n",
       "39    日本进口安速天然除螨喷雾剂350ml床上免洗家用正品螨虫非除杀菌   8.440000  0.010118    304915.11\n",
       "40         日本进口安速小强恢恢杀蟑灭蟑螂屋10枚捕捉器不含蟑螂药  -0.278871  0.078138   2354769.41\n",
       "41      日本进口安速小强恢恢灭蟑螂屋药无毒捕捉器克星家用强力清全窝端  -0.594046  0.122285   3685204.19\n",
       "42      日本进口安速小强恢恢蟑螂屋5片家用无毒贴捕捉器克星家用全窝端   1.167500  0.000662     19943.68\n",
       "43      日本进口安速小强恢恢蟑螂屋5片药捕捉器灭杀蟑螂克星家用全窝端   0.183755  0.007157    215689.30\n",
       "44      日本进口安速小黑帽蟑螂屋杀小强恢恢灭蟑螂药环保无毒无刺激正品   0.119800  0.000938     28277.99\n",
       "45     日本进口安速杀蝇饵剂苍蝇药1盒 粘蝇纸灭苍蝇贴强力神家用捕蝇器  -0.229067  0.009744    293644.17\n",
       "46       日本进口安速红阿斯杀虫烟雾剂弹烟熏灭跳蚤蟑螂克星家用全窝端  -0.639536  0.020649    622279.57\n",
       "47      日本进口安速红阿斯杀虫烟雾剂跳蚤螨虫蚂蚁药蟑螂克星家用全窝端   0.731700  0.000636     19166.12\n",
       "48       现货 日本正品安速小黑帽蟑螂屋杀小强灭蟑螂药环保无毒无刺激   1.337671  0.003503    105556.48"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 两组数据整合\n",
    "TOP.name = '交易额占比'\n",
    "df = pd.concat((DataFrame(ROI), DataFrame(TOP)), axis=1)\n",
    "df['交易总额'] = ansu.groupby('商品').交易金额.sum()\n",
    "df = df.reset_index()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "ba7c1415",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df.plot(x='交易额占比', y='交易增长幅度', kind='scatter', figsize=(8, 4))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "2ded7235",
   "metadata": {},
   "outputs": [],
   "source": [
    "res = df.sort_values('交易额占比', ascending=False)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "a5e490cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.029885592616110027, -0.4841345678100982)"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_line = res['交易增长幅度'].median()\n",
    "x_line = res['交易额占比'].median()\n",
    "x_line, y_line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "2a69a8e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "res.plot(x='交易额占比', y='交易增长幅度', kind='scatter', s=res.交易总额/1e4)\n",
    "plt.plot(np.linspace(0, 0.6, 50), np.array([y_line] * 50))\n",
    "plt.plot(np.array([x_line] * 50), np.linspace(-0.8, 0.8, 50))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfadbc53",
   "metadata": {},
   "source": [
    "### 流量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "c876e7de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>流量来源</th>\n",
       "      <th>交易指数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>淘内免费</td>\n",
       "      <td>119751</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   流量来源    交易指数\n",
       "0  淘内免费  119751"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ansu_top10 = pd.read_excel('./data/竞争数据/流量渠道数据/安速家居旗舰店流量渠道.xlsx').head(10)\n",
    "ansu_top10.head(1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "12764563",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_palette('Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "20b78451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hMC/0OFzr+v+PAcwWWIWhx3DgF8AtNE2Y7wHOVkr9FjP5XgvcBfTGLMH4CBgETAl1LRCiCUlWheikouKyCcC3mMsYRurM4mikPP6grGQlrDIU+LSk1P37nqxlVUodhDlzf0H4dq11b631cK31FK310VrrMzFXfUIp9RpmLWjd/5esNlyqHJgDPAJ8jlm2VCcHc7KTBqZpra/SWoePfD4N3IxZFrAGWIk5QerXdQl2aKR1FWaSXYLZru8RYKrWukpr/Y7W+kDMllxO4HXg1jbELeKQavjBTQjRVkXFZTbM3oV3IMsEdovUBMe83NSEmVbHIeLel8C5hXlJG3riYkqpUUC11npTG/b9M3Aa8IzW+vftvE4q4A71cW3ymta6upnD2nPu32N2C/gW+Fpr3Wwf2ND+xwLzwlbbEqKeJKtCdEBRcdlQzHWzp1kdSyxz2NTXA7KSD7Y6DiGACuDywryk/1gdSDillK2lOlIhYoWUAQjRTqFVqJYiiWq3Cxha6n9FpMgAXiopdT9bUupOsTqYOpKoinggI6tCtFFRcVke8Az7WsWIHjAgM2mHw27rbXUcQoRZDZxTmJf0vdWBCBEPZGRViDYoKi47HrPBvySqPcztD260OgYhGjkA+LKk1H1dBC/XKkTMkGRViFYUFZfdjLkEYK7VscSjWl9QJlyISOQC/gi8X1Lqlp8NQnQjKQMQogVFxWVJwD+An1odSzyzKb4flJ0y0eo4hNiPzcCphXlJ31kdiBCxSEZWhWhGUXFZf+AzJFG1nKEp0PKpWkS2AcDCklL3BVYHIkQskmRViEaKissOBRYBlq8RLgDI8Ae11K2KSJcIPFdS6n60JxcRECIeSLIqRJii4rILgbmYSwGKCFHrD2y1OgYh2ugq4BOpYxWi60iyKgRQVFxmLyou+zPwLJBgdTyiIbcv2GSFHSEi2OHAopJS91irAxEiFkiyKuJeUXFZJvA/zLWrRQTyBY22rHUuRCQZBHxRUuqebXUgQkQ7SVajmFJK1qPvpKLishHAN8AxVsciWmZohu1vXXEhIlQq8EZJqfu3VgciRDSTZDXCKKXsSqm+zWw/TSmV3Wjzc0qpIqWUvR3nv1cp9bNG2xxKqRSl1Byl1HlKqQSllEsp1aZJAkqpY5RSJ7Q1hkhRVFx2HPAVMMzqWESrEr0Bo8TqIIToAAXcU1Lq/qdMvBKiY+Q/Tg9RSvXGbCLtApKBdCAb6IU5mWcQ5qooBwLlSqkRWmtP6NgE4F4gQyl1rtZ6rlIqAzgRuFZr3Z56vqOAitB5h2PWaI4BHgVGY67S9DBwWWif0VrrH8PeRxLgbbQe9YVACvBe2H4Kc3ZsUGvta0d8PaKouGwO8AfkA1vUqPUFSxOd9hFWxyFEB/0cyC0pdZ9RmJdUa3UwQkQTSVZ7zg3Ab8Ke1wI1mKsifQGsCv35OrATSAM8AFprr1JqCvA8cAXmbPUrQ/v8XSn19/1cd7LWOrxRtY9QsoqZTB4KOLXWAaXUq0AAuAm4B9gEuBudbzsQVEqF971MxcxPy8K2KczE/DLgxf3E16OKisucwN+Bn7W2r4gsbn9QPliIaHcc8GlJqfuEwryk3VYHI0S0kGS159wKPARUA1Va66BSajCwHrhRa71wfwdrrSuVUqcCLqVUP+C3wAXA18CaRiOdhEoGdgPloefHYCaQmcBIpdRRwI7Q7v2VUuE/OJ2YiTBAg2bsWuvMxrEppZ4DUrXWZ+zvPVitqLgsAXgVc0RaRBl/0Mi3OgYhusDBmAsIHFOYl7TZ6mCEiAYyUtFzApjJY9X+btsrpWxKqSSllDNsW6FSanJoFZ8AZsL1PfARsASY1cyp6upY/aE/bweeBgoxb0fdFbbveszEt84TwIpmYtuilNKNH6FjT2/utdBjVMtflp5RVFyWDLyLJKpRS8NQQ+saq+MQoguMwOwUYPnPRiGigSSrPecCzFv/gbAkb33otc/CtgVD+50XduxNwCKl1JtAf+AS4GLM0dpE4DWlVLlSqkIp5QvVuNYlqwEArfU0rfVA4FvgZq31VMyRVrTWSmv9WN3FQiOkdSOrjV0R2l9prRXm7fTLgMTw7aHXRobHYJWi4rI04H3Mel0Rvewef1AmWYlY0R/4rKTUfajVgQgR6SRZ7TmvAAWYa0j3CT2mhF6bHbatX2i/18OO/QVwPjANGBCa8JQLXB46x6vAXzBv8Wdprb00SlYb6aWUuglIAghLlE8Hbg/9vSq0b4vtsZRSJ2HWf46pu55S6nql1NTQLm7gOxqVEvSkUA/VjzCbdIsoV+sLllsdgxBdKBv4uKTUHXXdVIToSVKz2kO01hXsm9gEgFIqMfTXPVrrHU2Pqj9WAy8opd7RWleGtn0Vmqm/Sil1Wdh+dbdJmySrSqmJmJ/m78Zs2fQQMCTsUn8FVmMmvnXCl7n8KbBeKZWPOVnsIuB0rfW7oVZXj2OOCD+vlFqstd4ITN7f16U7FRWX9cJMVA+0KgbRtdz+oLP1vYSIKsnAmyWl7ksL85L+aXUwQkQiSVZ7gFKqF+bM/sajnHXLerrCEtc6TsChtd4btk2HzvcAcDXgC42CJgFaKXUt5q39JMw2VGDO3LdjdhqoG8l9CLgutF825qQvI3SsjX3fF4bWuq7mFa31QqWUDdgWOm438IhS6nXMkdgHMEeG7Vrrxl0EelRRcVlv4GP2fR1EDAgYeoDVMQjRDRzAsyWl7qzCvKS/WB2MEJFGmYNxojs1avPUHmu11oWhcyjgM+BsoAwzsfRqrbVS6hlgi9b6jtB+KZi9W9dgztKvCbW3mofZ8uqfWusnlVJjgOX7uf5HWuufNPN+cjGT0xMxa1YXAY+EOhYkAB9iTuw6X2u9s4PvvcOKisv6A59g9q0VMWZgVvJuu03lWB2HEN3kmsK8pEesDkKISCI1qz1jAJAHZDV6jA+9flwzr+UDh4WdYzxmzWrfUE3qAOCIZq51KeaIbV0ZQBBAa32J1vpfdc9D237ArEktBc4Nmxh1UGi/OxufXCl1O/AvYBfwXyAHc6nSeUqpVcBazNvus4BvlFI92sS9qLhsCLAASVRjltsfXN/6XkJErYdLSt1XWh2EEJFEygB6gNZ6S3PblVKZob9Wa63LWznN8cBqrfWi0PNpmCObnzTa7xbgS8zb+tDKTHyttV8p9QRwt1LqDcwPME8Df9daf9HMIUnARsyFCXZiTqI6DRiHmbTuCW1Lw2yB1WOKisuGAZ9i1uWKGFXrC9SkJsiPLhHTHispdQcL85L+ZnUgQkQCGVmNHqdhzvoPlxxaMjULKAjNzk8OvdZgZLUVf8QsK3gac7UpP/Dr5nbUWt+Eedv/dOADrfXLQDFmScJGzJHW9cA1wM+01ivb9vY6p6i4bDTmiKokqjHOEzCSW99LiKimgCdKSt2XWB2IEJFAklWLhGpLx4We7jehVEodCEwC3gnb7AXGYiaw+ZgTns4h1I4KM2k1dFhRcuiaqc1cwoOZqJ4PnAzcqbVusna1UiovtFrV48BLmCOrsC8xRmu9AfgVZlut75RSk/b33rpCUXHZBMx63N7dfS1hvaChB1sdgxA9QAFPlZS6L2h1TyFinEywskCo9dNqIB2oBIZprUv3s//DmLWoGVrr/d7WV0pNxlw0YCqQrLUeFtr+U8xaUxtmrWsx5ujpGMza2GrgKczZ/Bdh1qQuBjZglhbUYs6u74NZ3/pdaKLVvzCXD1yktT4mLI4+wMuYpSaHtxZ3RxUVlx2E2Z4qszvOLyJT/8ykLU67TUbRRTwwgJ8X5iW9YHUgQlhFklWLKKUux2xF9V5LNa2N9v+J1vrDNuznxLwNvxG4UWu9MLQ9EzgLmKu1XhPa9jfMJPS90PZgaHsfzHrYKcBOrfWtYefwhrelCrXRKgNebPw+lFIOzJWtqluLuyOKistGAgsxR5VFHMlOdn2VkeQ8xOo4hOghQeD8wryk/1gdiBBWkGQ1BimlbFpro/U9o1eoPdUXmF0RRJxJctrn905PnGF1HEL0oCBwTmFe0itWByJET5Oa1RgUB4lqFmYvV0lU45Q3EMywOgYhepgdeKGk1H201YEI0dMkWRVRpai4LAl4FxhldSzCOoamMNY/lAnRDCfwWkmpe3yrewoRQyRZFVGjqLjMgbkQwVSrYxGWS/UFjXVWByGEBdKA/5WUuuXOkogbkqyKaPI05sQvIaj1BXdYHYMQFukLvF9S6s60OhAheoIkqyIqFBWX3QNcaHUcInK4/UEpAxDxbDTwRkmp22V1IEJ0N0lWRcQrKi67GPit1XGIyOILGLlWxyCExWYCz5WUupXVgQjRnSRZFRGtqLjsSOBJq+MQkUdDodbaa3UcQljsHOAPVgchRHeSZFVErKLislHAa5gzYIVozOkJGCVWByFEBLixpNR9pdVBCNFdJFkVEamouCwPc2Ut6acpWlTrC+y2OgYhIsQjJaXuk60OQojuIMmqiDihXqpvA4MtDkVEOLc/aLc6BiEihB14qaTUPdbqQIToapKsiohSVFymgH8BB1sdi4h8/qDua3UMQkSQZMwOAZlWByJEV5JkVUSam4DTrQ5CRI3BQUNXWB2EEBGkAPi3dAgQsUSSVRExiorLDgPutjoOEVWUxx+UlayEaOgE4DargxCiq0iyKiJCUXFZL+A/mHVXQrRZrT9YaXUMQkSg20tK3cdbHYQQXUGSVWG5sDrVflbHIqKPxx9MsDoGISKQDbMcYKjVgQjRWZKsikhwI3Cs1UGI6BQw9GCrYxAiQmUBr5eUupOsDkSIzpBkVVhK6lRFF+gdCBo7rQ5CiAg1Hnja6iCE6AxJVoVlQnWqLwEOq2MR0c3tD260OgYhIth5JaXuq60OQoiOkmRVWCJUp/o80N/qWET0q/UFa62OQYgI96eSUvdUq4MQoiMkWRVWmQMcZ3UQIjZ4A0a61TEIEeGcmBOu0qwORIj2kmRV9Lii4rJpwO+tjkPEjqDWQ7XW2uo4hIhwQ4CHrQ5CiPaSZFX0qKLishzMfqpSpyq6UqY/qKVuVYjWXVRS6j7N6iCEaA9JVkWPkTpV0Z1q/YFtVscgRJR4qqTU3cfqIIRoK0lWRU+6AZAVVUS3cPuCfqtjECJK5AD/sDoIIdpKklXRI4qKy6YC91gdh4hdvqCRY3UMQkSRY0tK3VdZHYQQbaFkToLobkXFZYnAcqDQ6lhETHMPzk52KqWkHlqItnEDkwrzkoqtDkSI/ZGRVdETbkMSVdH9krwBY63VQQgRRZIw21k5rQ5EiP2RZFV0q6LisjGYtapCdLtaX7DU6hiEiDITgTusDkKI/ZFkVXSb0Oz/pzCbUQvR7dz+oNUhCBGNbiopdR9idRBCtESSVdGdLgcOtToIET/8QaO31TEIEYVsmO2spN5bRCRJVkW3KCou6wv8weo4RHzRMNTQutbqOISIQmOBX1sdhBDNkWRVdJdHgAyrgxBxx+7xB0usDkKIKHVHSal7kNVBCNGYJKuiyxUVl50EnG51HCI+1fqCe62OQYgolQw8ZnUQQjQmyaroUkXFZanA41bHIeKXxx90WR2DEFHsxJJS92lWByFEOElWRVf7PTDA6iBE/PIbur/VMQgR5R4pKXWnWR2EEHUkWRVdpqi47CDgaqvjEHFvQNDQu60OQogo1g+42+oghKgjyaroEkXFZQ7MnqryPSUs5/YH11sdgxBR7qqSUveBVgchBEhiIbrOr4EJVgchBECtL1BtdQxCRDk78LeSUrfkCcJy8k0oOq2ouGwwslyfiCCegJFidQxCxICDgCusDkIISVZFV3gcs+WJEBEhaOjBVscgRIy4s6TULT2zhaUkWRWdUlRcNgs43uo4hGgk1x80tlodhBAxIAe42eogRHyTZFV01j1WByBEc2p9wc1WxxDtykp38suLz2HC0DzGDMrm0vNOZVfpDgC01jxw960cNr6AcYN7cebxM1n87TftOv+GdSVccMYJjB2cw/ghuVx35cXU1OwrN/Z6PNx87eUcPGoQEwryueCME1i7ZlX968/89S9MOqAvzz75aP22ov+9TVnpzk6+c9HINSWlbmlJKCwjyarosNBKVYdaHYcQzXH7gx6rY4hmWmuuuuRcli3+lmtvup3rfnsXS779huuvvASAF//5NG+/+hK33fsnnnz+FXLz8rnorBPrk9nWuGtr+cV5p1FauoPf3nU/l19zAx+8+wb33HpD/T4PP/h7lny/iAcefYqHn3oen9/HBWeegNfjIRAI8OiD93D3g4/y8IO/JxgMArBgbhG98vK7/gsS3xKRVlbCQg6rAxDRqai4TCGjqiKCeQPBLKtjiGYL539C8Q/LeP+z7+nb3xxUS0xK5Hc3/IqK8r28+/p/+fkvfslPTjgFgElTDmVCQR6fz/+UU848t9Xzv/XqS3i9Hl77YAHpGZkA1FRX8+I/n+beh54A4J3XX+bmO+5jxpE/AWDw0EKOOmQsy5Z8x8DBQ0hLT+f42adzz203sLuslI3r1zH54Gld/8UQAD8rKXX/uTAvaZnVgYj4IyOroqPOAcZaHYQQLTE0BVprw+o4otWEiQfx6gcL6hNVgMysHAAMw2DPnt1oretfCwQDBINBEhKT2nT+o48/mX+99n59ogqQmZ2NERohBdjb6Bo+nw+AxMREDMNA2cxfYcpmwzAM3n/rNY6ffXr736xoCxtwv9VBiPgkyapot9ACAHdaHYcQrUj1BQ1ZHKCD0tIzGDZ8ZINtCz75kCEFw8jKzmHq9Jm88OzfWLliOZUV5dx/52/Jyu7F9FlHten8Ob1yGTSkoNH5P+LAgw6pf37oYTN58pEH2bxxA7t3lfKne37HsOGjGD3uQLJzcqnYu5fNGzdQVVGBx+0mN783Tqez829etOTYklL3kVYHIeKPlAGIjrgYKLQ6CCFaU+sLbk9w2Ata31O0ZuP6tbz16kvces8fAbjxd/ey6MvPOemIgwFITEripbeKSE3t2JLyX3/xGV8unMffX3qzftt9f3mSk488hCOmjAIgp1cer74/H5vNRkJCAieccgZHTBnF2T+7mDdfeZGfXXx5596kaIsHSkrdkwvzknTruwrRNVT4LRYhWlNUXJYIlGCuHS1EREtw2Bb0zUg63Oo4op1hGJx36k+oqqjgjaLPcTqd3HfHzfzv7de47FfXk5qazovPPcWWTRt48e2PGTR4aLvO766t5eQjD2Hg4CH8/aW36rdfdcm5rFuzmouv+BVaa5598lEMbfDSW0VkZZslCVs3byIrO4eH7ruTMeMncvct13HKmedy6+8f7NKvgWjg/MK8pBesDkLED0lWRbsUFZddB/zR6jiEaAsFPw7OSRlldRzR7smHH+TRP93Lq+/PZ+Tocewu28W0cUN59f35jBk/EQCv18vxh09i2owjuOuBR9p1/luvv4qP3nuLtz/9it59zM/BK5Yt5ozjZvDZ4jX1s/sryvcyY9IIrrh2DpddfV398S89/wzjJkziV7/4Gb+64Rbu+d2NvP3Jl/XnEl1uAzCiMC/Ja3UgIj5Izapos6LisjTgJqvjEKKtNBRqreUXaid8+dk8/nL/Xdx8xx8YOXocAJs2rCcYDDJsxOj6/RISEigYNpzNGze06/xv/PcF/vvvZ7nv4b81SC7Xry0hKzunQRuqjMws+vUfyOaNDUuRVyxbwuhxB7JtyyZOOOVMhgwtZNsWabPbjQYDUnMheowkq6I9fgP0sjoIIdrB5QkYJVYHEa3WrCrm6kvP47iTT+f8sHrQ7BzzFvzyJd/Vb6so38uS7xeR37tPm8//9ecLuOW6X3LZ1ddxxDENF8LLys6hbFdpg6Rz04b1rCtZRX6fvvXbFs7/hGkz9s35kbuFPWZOSak7weogRHyQCVaiTYqKy3Iwk1UhokqtL1CW5LRbHUbU8fv9XH3peTgcTs654NIGiemQwgM4YMRorrr4XI6ffToOh4Oi99+hYu8ezr3wF4DZZmrVj8sZNKSgQXuqOuV793DN//2cAYOGcNRxJzU4//BRY5kweQrZObmcd8ox/OTEU/B5vbz/zuu4XAmcfvbP6vct+t/b/O7ePwPQt/9A3n7tP6xfu6ZByy3RLfpiTrZ9wupAROyTZFW01U1AutVBCNFebn9Qfs51wOqVK1i7eiUA551yTIPX/v36Bzz737e5747f8tarL1FbU83AwUN54NGnGXfgZABKd2zntJ9M56/P/oejjz+5yfm/+fIzdpeVsruslDOOm9HgtbmLiuk/cBAvvV3Evb+7kf88/3d8fh/Dho/k+lvuqk9Ed5ftYvDQYdjt5oeRX91wC3ffcj2nnHmu1Kv2jBtLSt3PFOYl+a0ORMQ2mWAlWlVUXNYPswNAotWxCNEB64bkpLRveroQoq0uKcxL+ofVQYjYJjWroi1uRRJVEb2GGIautDoIIWLUzSWlbqmzEd1KklWxX0XFZfmYdUlCRCvl9gfXWh2EEDGqEDjD6iBEbJNkVbTmMsBldRDRYm9ZKXddcyGzJw/mxAMHcOvl57Bn18761+e//yYXHXcwpx1SyEO3/waf19Pha5Vu38opBw1h6TefN9j+1gvPcN4REzhz2gie/cs9GIZR/9oTf7iF0w89gPnvv1m/7YPXXsAfWnM9VtX6gzKyKkT3udHqAERsk2RVtKiouMyJ9NJrM601d117ESuXL+bCa27m4l/fQvGSb7n/xisB+P6L+fzhhsuYNG0mv/3jU6xf9SNP3ndbh6/3l9t/TW1NdYNtH77+In+997cce/p5XH/vI8x//01e+cdjAJTt3M7Hb/2XS6//Hf987H4A/D4fa1f+gNMV259HPP6glLEI0X0OLCl1H211ECJ2ySxZsT+nA21vmhjnvvtiHmuLf+CZdz4nr29/AFwJSTxy5/VUVZTz/GP3M2naLK661UwU+wwYzKUnTeNnv7yBrF557brWh6+/yI9Lvm2wTWvNPx+9jxPOvpCf/fKG+uvfdc2FnHHhlezctpkBBcM46qSzeOwucyBk/gdvMvO4Uzr5ziNfwNADrY5BiBh3I1BkdRAiNsnIqtifq60OIJqMHDeJR1/+qD5RBUjPzAKgtrqKlcu+44gT95V29Rs0lIFDD2DJ1wvbdZ3dpTv42wO/47Ib72qwffO6NZTt3M6RJ55ev23CwYehtWbVD4vRhoFN2bDZbBjaLA344buvGT3x4Ha/1yjUJxA0dra+mxCig44sKXVPsjoIEZskWRXNKioumwRMtTqOaJKSls6gwuENti367BP6Dy4gEPBjGAZDhzdcpr53/0Fs3biuXdd5+M7rGTl+Msedfn6D7WU7twMwZPi+JTCVUvTuN5CtG9eRnZvPjm2b2bCmmOxe+az4/mtGT5zSrmtHM7c/uNHqGISIcddZHYCITZKsipbIqGonbd24jk/efoXTfn55/USqlLSMBvskJadQsaeszef85J1X+eG7r/j1XQ81ec3r9WCz20lOSW14jZQUKvbspu/AIQwYXMgVpx/BiWdfwLz332Tmcad24J1Fp1pf0G11DELEuNNLSt3tq2kSog0kWRVNFBWX5QI/tTqOaGYYBn+69RoGDB3Gsaefh9NlLqFdt9JOHaUU3jZ2BNi7exdP/OEWrrj5HnrlNy0ldrpc2G1N2x0qFF6vmafd+/R/+fcnSzhq9tlk5vTijX/9jdMOKeSVfzze3rcYdbwBI7X1vYQQneBCWh2KbiDJqmjOL4AEq4OIZi8/8wirli9mzn2P43A6yczuBcCuHdsa7FdZvofEpOQ2nfPRu+cw+sApHD377GZfz8ruhd/vY+/uXY2usZfEpBTATJbz+vTj/Vf+xdGzf8q///pHrr/nUf791wcJBgLtfZtRJah1gdUxCBEHLispdUtuIbqUfEOJBoqKyxzAFVbHEc0Wf/UZ/3z0Pi6bcycFI8YAkJqeQV6f/vzw/df1+2mtKflxGTl5vdt03oUfvcuXcz/gmFG59Q+AGy48hesvmM2AocNwuhJYEXaN2ppqtmxcS05efv02r8dNTXUlNpuN1PQMph55HMmpaZS3oxwhSmX6AobUrQrRvQYDx1odhIgt0rpKNHYK0L+1nUTzNpas4vfXXsyMY2dz8rmXNHht+jEn8e5L/+C4M84nJTWNee+/yd7duzjw0BltOvcTr33aZNsVpx/Br+/6M+MOmoYrIZGDZxzFq8/9lUNnHYvd4eDtF/8OWjPh4On1x3zyzqscedKZgJkwx5Naf2CLy+EaZHUcQsS4K4D/WR2EiB2SrIrGZGJVBwX8fu6+9mLsTicnnH0Bq39YUv9a/yGFnHXp1cz93+tcfdbRDB87kQUfvMWhs47lgNHjgdAo6PoSBhUOJyExqcn5C0aObfa6fQcOpd+goQBceM0tXH3W0fzqnGPp3W8gC4veZfZ5l9aXIQCs/mEJx5/5MwJ+PzVVlXz20TvUVlc12CdWuX3BYGbTL60QomsdX1LqHliYl7TJ6kBEbJAyAFGvqLhsPHC41XFEqw1ritm0bjXlu3dx/c9nc9VZR9c/1qxYSlZOLo+/8jEjxk1iw5piTrvgMn77p6fqj1+zYilXnXU0W9aXdDiGgUOH8eh/i8jr05/tWzZyyW9u47Ib765/fW3xciYeav4TO5xOzrviOv5827Wcf+UN2B2x/9nVFzSyrI5BiDhgA/7P6iBE7FDxdhtQtKyouOwZ4JJWdxQierkHZyc7lVKxn5kLYa2dwIDCvCS/1YGI6CcjqwKAouKybOBcq+MQopsleQPGWquDECIO5APx08hZdCtJVkWdSwGp5hMxr9YfLLU6BiHihHSWEV1CklVR50KrAxCiJ7h9QWV1DELEiZklpe4DrA5CRD9JVgVFxWVjgJFWxyFET/AHDVkOUoiec47VAYjoJ8mqADjL6gCE6CkaCgyta62OQ4g4IUt3i06TZFUAnGl1AEL0ILvHH+x4fzAhRHuMKCl1T7A6CBHdJFmNc0XFZeOAEVbHIURPqvUF91odgxBxREoBRKdIsiqkBEDEHY8/6LQ6BiHiyNklpW6Z2Cg6TJJVISUAIu74Dd3f6hiEiCODgEOtDkJEL0lW41hoeVVpKyLi0cCgofdYHYQQcUQmWokOk2Q1vkkJgIhbbn9wndUxCBFHziopddutDkJEJ0lW45uUAIi4VesL1FgdgxBxJB+YaXUQIjpJshqniorLJgDDrI5DCKt4AoYsLyxEz5KuAKJDJFmNX1ICIOJa0NBDrI5BiDhzWkmp22V1ECL6SLIav6QEQMS7XH/Q2Gp1EELEkSzgMKuDENFHktU4VFRcNhEotDoOIazm9gc3Wx2DEHHmOKsDENFHktX4JCUAQgC1vqDX6hiEiDOSrIp2k2Q1PkkJgBCANxDMsDoGIeLM6JJS9wCrgxDRRZLVOBNaCGCo1XEIEQkMTYHW2rA6DiHijIyuinaRZDX+zLI6ACEiSJovaKy3Oggh4owkq6JdJFmNPzOtDkCISFLrC+6wOgYh4syRJaVup9VBiOghyWocKSouU8B0q+MQIpK4/cGg1TEIEWfSkBZWoh0kWY0v44Bsq4MQIpL4AkYvq2MQIg5JKYBoM0lW48tMqwMQItJoKNRaSwsrIXrWsVYHIKKHJKvxZYbVAQgRgVyegFFidRBCxJmxJaXu/lYHIaKDJKtxIlSverjVcQgRiWp9gd1WxyBEHDrG6gBEdJBkNX6MAXKsDkKISOT2B+VnoRA9b5rVAYjoID+g48dMqwMQIlL5g7qv1TEIEYemWh2AiA6SrMYPqVcVomVDDENXWh2EEHFmeEmpWzrUiFZJshoHpF5ViFYptz+4zuoghIgzCjjU6iBE5JNkNT6MAnKtDkKISFbrD1ZYHYMQcUhKAUSrJFmNDzOtDkCISOfxBxOsjkGIOCTJqmiVJKvxQepVhWhFwNCDrI5BiDh0UEmp2251ECKySbIaHyRZFaJ1fQKGUWp1EELEmRRgvNVBiMgmyWqMKyouGwnkWR2HENHA7QtusDoGIeKQlAKI/ZJkNfbJDwEh2qjWH6y1OgYh4pD8nhL7Jclq7BtjdQBCRAuv30izOgYh4pAkq2K/JFmNfaOsDkCIaBHUeqjVMQgRhwaVlLqlvaJokSSrsU+SVSHaLssXMDZZHYQQcWi01QGIyCXJagwrKi5LB/pbHYcQ0aTWH9hidQxCxCFJVkWLJFmNbTKqKkQ7uX1Bv9UxCBGHJFkVLZJkNbZJsipEO/mCRrbVMQgRhyRZFS2SZDW2SbIqRDsZmkKtdcDqOISIM5KsihZJshrbJFkVov2SvAFjndVBCBFnckpK3flWByEikySrsU2SVSE6oNYf3Gl1DELEIRldFc2SZDVGFRWXpQADrY5DiGjk9gWtDkGIeCTJqmiWJKuxaxSgrA5CiGjkDxpyO1KInifJqmiWJKuxS0oAhOggDQWG1rVWxyFEnJFkVTRLktXYJcmqEB1n9/iDa60OQog4I8mqaJYkq7FLklUhOqHWF9xjdQxCxJmsklJ3jtVBiMgjyWrskmRViE7w+INOq2MQIg4NsDoAEXkkWY1BRcVlScBgq+MQIpr5Dd3P6hiEiEOSrIomJFmNTQcg/7ZCdNagoKH3Wh2EEHGmv9UBiMgjCU1skv/sQnQBtz8oK1kJ0bNkZFU0IclqbOptdQBCxIJaX6DK6hiEiDMy2CKakGQ1NvWxOgAhYoEnYKRYHYMQcUZGVkUTkqzGJklWhegCQUMPtjoGIeKMJKuiCUlWY5OUAQjRNXL9QWOb1UEIEUekC4doQpLV2CQjq0J0Ebc/uMnqGISII4klpe5cq4MQkUWS1dgkI6tCdJFaX9BrdQxCxBmZZCUakGQ1NsnIqhBdxBsIZlgdgxBxRupWRQMOqwMQXetP89al2m0sddhsXqdNGS67TTntNqfLbkt02VSq027LcNpUtlJKlpIUog0MTYHW2lBKyYd7IXpGvtUBiMgiyWqMCWqdGwxysC8YbG3XCgV7bYoqu1Juh83mddhV0GW3KZfN5nDZVaLTbkt12W3pDpvKsSnl6on4hYhAab6gsTbBYS+wOhAh4kS61QGIyCLJauzJaeN+GRoyghqCWuMzghDY7/6VCvYqM7mtddiU12m3BZ02m3LZlcNltyW67LZkp82W4bSrbJtSiZ1/K0JEhlpfcLskq0L0GElWRQOSrMae7G46b7qGdK3B0Bq/oXEHjP3tX405cltpV6rGYVM+p80WcNqVctlt9n3JrUp32m3ZNqWSuyluITrN7Q8aWVYHIUT8kDpx0YAkq7GnrSOr3S0VSDXCk1v2m9zWAnvqklu7TXmdNlvQaVfaZbc5XDZbgstuS3baVbrTZsuy21Rqz7wNIcAXMHpZHYMQcURGVkUDkqzGnkhJVtsrGUgOT249+09uPZjJbYXNHLn1Om0q4LTZzOTWbnOFktu0UHIrP/xEh2ko1Fr7lNRuC9ET5Oe1aECS1dgTL3crE4G+hqavoTUBQ+MBoMWJZV7MsoRym1I1DqU8Dnt9cms3k1uV7LTb0pw2W5bDpuQ2lAjn8gSMH5Oc9lFWByJEHJCfv6IBSVZjT5LVAUSoBKC3oeltaE0AHcprW0xu/cAeBeV2m6qxK+Vx2pTfabfhsttsLrtyOu22ZJfNlua0q0y7UplKKdVTb0b0vFpfoCzJabc6DCHigYysigYkWY09cpuyaziBfA35AcNMbr1BwN9ichvATG4r7DZVbbYDq0tulXLZbS6XzZbktNtSnTaV6bCpLOnbGV3c/qBkqkL0DElWRQOSrMYeSVat4QDyNOS1MbkNArsUVNiUqnbY6pNb7bIp5bLbnE67Lcm1L7nNluTWWoGglmWMhegZUgYgGpBkNfZIshod7ECuhtyg1gSDrSa3BrBbQblNqWp7XXJrCy3kYK5SluS0q1SnzZYZWqVMRgK7kIYhhqErbTJZT4juJv/HRAOSrMaeBKsDEN3CBuRoyKlLbn37X6RMA3tDyW2V3Uatw2arT27DluBNcdrrk1tZgnf/bO5AcG2Ky3Gg1YEIEeNSSkrdtsK8pP22hBHxQ5LV2CMjqwJAAVkasszkFtq5BG+tw2bzyRK8DdX6gpUpLvmxKUQPSMZcXEYISVZjUNwlEKLLdPUSvAlmza0tPVaW4PX4g3LnQoieITX6op4kq7FHklXRUzqzBK+Z3DZcgjfBabeluCJ4Cd6AoQdaHYMQcUJq7kU9SVZjjySrIlLFwhK8fQOGUeqw2fJ64FpCxDMZWRX1JFmNPZKsiljR0SV4K0PtwMKX4LWHyhI6vQSv2xfckJYoyaoQ3UySVVFPktXYIzV1Il71yBK8tf6gOy1RGicI0c2kDEDUk2Q19sjIqhBt05EleHcvXbNr69QR+f/dUulNrfIEbTW+QJo3YGQhI0FCdJmcFBePnj7a6jBEhJBkNfbI+vRCdA9nya7aVYvX7c3JUiSfdFhBzaqy6lRPwDgkaOjaam9wY6UnsLfaEzDcfiMjNBkr2+qghYhG2yu92uoYROSQZDX2eKwOQIhYtLXcs3B3te8wrWzbnitaOeD4yYMWTh2YrbZVeFZvqKjdY7epQzOSHA1GV30BY2eVN7C10hOsqvEE7J6AkWNoBgNJ1rwLIaKGLAgg6kmyGnskWRWii+2u8X23tdx7SK07sNJut40GKi/408cHzr//1NLCXqkkO+15tf7gxvXltdu8QeNQQiUBLoctP8fhys9J2XcurbXh9hvrqzyBnVWeoLfGF0zwBYx8DYOQUgIh6kiyKupJshp73FYHIEQsqfIEVq7d5T4AcFRUeXYBKKV2un3BYRf/5VP/v64/auDA7GRje4Xn+1G5aYfV+oNrN5TX7vQGjUNoJvlUStmSXfYhyS77kPywfgSGod01vuCGSk9gd5UnEKz1GakBQw8ApPOAiEeSrIp6kqzGHhlZFaKLePzBLcU7arKANICaWn8mgM1u2xsMBPlh454Dnvt45WcXHT1yer/MpMP21voWApNG5aYV1PqDJRvKa3eFktZWa8ltNpWUlugYmZbY8MeyP2jsrvYGN1e6AxXV3qDN4w9mBc1Sgp7oKxtTPBW7Wfzv+yj94SsMI0jeyMlMuuh3JGb0avXY+ff/H2Wrvmv2tcPn/I3cEZPrnwd9Hj669Sx6j5vGgeffCIA2DL5+8mZ2r1nMlMv/QO7wSQCsnfsKBbPO7IJ3F3O8VgcgIockq7FHRlaF6AKBoFG+fGu1F+gP5shn0NAjARwOuycYMLsGPPzWsulHjO//5aC8tEOzkl2HJbvsa7ZVeBzJTnvhqNy0whp/YM2GcvduX9A4mA5MgHTabTlZybacrOR97bK01tobMDZXeYLbKz2B2hpv0OUNGnnaTGLl53oztNZ89fgN1O7ewajTrgANxe88zTdP3cbhNzzR6vETf/5bAp7aBttKVy6i+K2/kdZncIPtP771FAFPDaNPvaJ+2551y6nYvIbCo85h1XvPkjt8Ep7KPXjKy7rk/cUYjfwuE2Hkh1rskf/gQnSSobV36dbqjRrG122rrvX9CEwCcLochtfjq9//vAeKRs+975RNTodtYILDPmxQVnLVtgr3F35DT01xOoaNzk0bVuMLrNpQUbvXF9QdSlrDKaVUotM+INFpH5Cbtq9bnaG1r9YXXF3lCe6q9AT8tb5gij+o+wL9OnO9WFC64ivKN6/mmN+/QnJOHwDsrgQWP38vvppKXCn7XyOicUIKsOTFByg44uwGI7MVW0pY89ELTDjvxgbnrCnbRtaQkfSddAQbFr4DwIYFbzJ4+imdf3Oxp/bViyZKNwBRT5LV2CNlAEJ0gtZaL99a/X3Q0IeGb6+o8lbX/d2V4Gyw+Ea1x59+2WPztvz9mlk+pZTLZlNp/bOSp+6p8S2o8PgPBhJSXI7ho3PTqfEFVm0ory33Gfrgro7dppQrNcFxQGqC44A+GftCDBi6otob2FjlDpRXeYO4/UZG0NCDgYyujiFSZQ8dwxG3Pl+fqAK4Us23r3X7yyN3LPucyq3rmHrNX+q3aa1Z/Py9ZPQvZMjhpzQ8QGuUsqGUDa0NjIAfT0UZKb36IJqobn0XEU8kWY09MrIqRCes3FmzwBswZjTeXuv259f93ZngaDIM933JrlEvLyhZ8NMZww6v25ad4jo82WUv3l7pSQEGAqS4HMNH56VT7QsUbyivrfIbeko3vZV6DpvKyExyjstMarjyljdg7KjyBLZUeQLV1d6g0xsweoVaa8XcSnjO5DScyWkNtu1c9gWp+YNISM1s9/lWf/A8gw47qcGxGz57i90lS8kfcyiLnrmN1PxBDDv6HJzJaSRm9KK6dDNV29eTlNmLLYuK6Df5qE6+q5hVY3UAIrJIshp7JFkVooM27HbPr/IEmySqgaCxV2sOqHvudDlzmzv+vle+P/zwMX2/7puTUj9qmui0jxyYlVyxrcL9VcDQh9RtT3U5Ro4xk9YfN5TX1vgNfVBXv5/WJDhsvRNSXb17pe4rJdBaB2r9xtoqT6C0yhPw1fiCif6A7q3NZDtmFh2p3rmZjV++x4Rzb2j3sZVb17Jr1Xcc+PPf1m8L+r38+OaTAHjKyzACPrYsKmLTl//jiFv/Sc6w8QQ8tXzx6HUcdOmdlK1ezMQLbumy9xNjJFkVDUiyGnukDECIDthR6f2ytMp3eHOvVVX7VgH1iabdbsvFnK3cZATyp/d/NPzTP8ze6rDb6utE7TaVMSAr+ZCyau/8Km9gKlA/xJnqcowak5dOlTewYkNFrTtg6MmNz9mTlFKOFJe9IMVlL+idvu/tBQ1dU+MNbqj0BPZUeQOG22ekh1prtT6VPsJow+C7Z+8krc9gBk+f3e7j1376Cnkjp5DWe1D9th1LF+Ip30XhUecw/tzrAdi7oZh5917M6g//zZjTf8mRt7+At6qc2j07MAIBlrzwAJu/+oAJ581hwCHHdtn7iwGSrIoGpAF17JGRVSHaqbzWv3TTHs9EWhg5rKjy+sKfK6UUsL25fStrfZlXP7Fgj9Y60Pi1XqkJM3qnJa4CtjV+LS3BMXpsXvrkwqyUHxw21XyPJAvZbSolPckxun9W4vSRvVNnTByYfuCUwRm9JgxI21WYm/x9XpprfrLL9plN8SNQ2+oJLbTq/efYs24FB116NzaHs/UDwhjBAFsWFdF/yjENtlft3AjAAcddUL8ta/BIsgaPpHzTKgBsDidJWbls/up9eh1wIJu//pBx51zHj2/9rZPvKOZIsioakJHV2CPJqhDtUOMLrl1dWjuI/dRperyBQY232ey2vUbQGNzc/l+u3Dn27a83zJ99yJAmJQVJLvuYgVnJe7ZWuBcFm7n1n5bgGDM2L51Kr3/5xgq3P2Doie17Rz3LZbflZqfYcrNTGrTWMjx+Y2OVN7Cj0hN013gbrNJlty5aKC3+hh/feJLx51xP5sADWj+gmeP97ir6Htjwn9bhSsLmcJGU1bBCxO5KxObY96vWvbeUhLRMPJW7Ses9iAFTjuG7Z+/q2JuJXVGXrCqlXFprX+t7io6QkdXYs9fqAISIFr6AsXPFtuoEILPFffzBLZhJVgMOh32/M5Zv//c3h++qcH/b3Gt2m8oekJk0OTXBMR8INrdPeoJz7Ni89IlDs5KXOWxq8f6uFWmUUrYkl31QXlrCwYW5yTPH90879KDBGUMnD0z3j+ydsrJ/ZsLC9ETHfKddfUcLI9TdoXLrOr766430P+goCo48q0Pn2PbdXLKHjiUhLavB9qwhozECPqq2b6jf5ndXU75xJdlDx9RvWz//DQZPP7VD144jVVYHAKCUsiul+jaz/TSlVHajzc8ppYqUUm36MKaUmqiUcoY9z1ZKpYQ9X66UeiHs+UClVHIr53xZKXVPW67fynkeVUod18FjlVLqDqXUGZ2NI5yMrMaeHVYHIEQ0CBq6atnWqnJg+P72q6jyrie0MEA4h9MR9Hn9+ztUnX3fh4OL7pm9025T+U1eVErlpibMSHbZl5RWefsATfYByEhwjhub56TC41+yscJNUOsJ+7toJLPZVGJaomNEWqKD8AzAHzT2VnuDm6o8gYoqTxBPIJgVNBgE7L/5aTsYAT9f/XUONruDITPPYO/6H+tfS+09iICnFm/VHjIH7vfbgdIfv6b/QUc32Z5TOI5eB0zkq7/OYfRpV2KzO1n1v+dAUd9LNej34qutJCkrF62DVO3YwKav3ielV5N8KN7t7s6TK6V6A67QIxnz+ywbs/66N+aH0wOAA4FypdQIrbUndGwCcC+QoZQ6V2s9VymVAZwIXKu1bvbDZ6Pr9wE+BRYrpU4B/MAy4H3gFy0c9jzQSyk1uS6WRue0A8fu5/j2uBzzQ+T77T1Qa62VUpOAXyilPtJaV3ZBPJKsxiBJVoVohdY6sGxr1WpDm03+96eq2tfsSIkrweGobaUb5J4qb6/rnl645KH/OyxXKdXsnawUl2PCgCzbrq3l7u8NTYu3/DMSnRPGJTop9/gXb6pw24Jaj29p32jjtNuyspJtWeGrdAF4/MGtVd7gtip3oKbaF3T6AkZeqLVW+wpNMWfwV21fD8CC+xv+Pj98zt/YtfI7Sope5OTH57d4jpqy7dTs2kp2YfNf+qnXPMSK1//Kkn/fj6+mgowBB3DYrx8jMd0chNv5w1cMPNicSJWc3ZsBBx/Lspcf4sDzbmzv24l1u7r5/DcAvwl7XotZepALfAGsCv35OrATc7llD4DW2quUmoKZPF4BzAWuDO3zd6XU3/dz3cla6++01tuVUidiJoNFwFTgHuCvSql/aa0XYN5xCQIopc4CpgPHhCeqSqnBwHqgPLSvP3SOvza6birwptb6p238+gRCj466CvNr+Gfg0k6cp57SWhaJiCUPzF2bSoTcQhEiUv2wtWphrd84rLX9tNZ61bo9ZZi/xBqorXYvKd22Z0JbrvfAxVPnHzNxQJP61UbXMkqrvZ/V+oLTaUOJVrnH//2milpHUDOuLTHECkNrv9sX3FDpCe6qMlfpSvLtW6UrZlprxbkrXr1o4pPddXKlVBKQg7n4QJXWOhiW+E3XWi9swzkU5shsL2Al8Evga2CNbrTKRKhkYDdQqLVeG7b9KCBba/3f0Pm+Av6rtf6TUup7zNHWi0LbF2qtr2t03t6YI6AjtdYr9xPrcwBa6wsbbU8EEps5ZDPwB6Bx0ovWuryl6zQ698OYyfwIrfW6thyz3/NJshp7Hpi7thpIaXVHIeLQmtKa+XtrA/tNHOu4PYE1G7dWDGvuNb8vsHnrhp0D2nIepTA+/cPspVmpiQe2tm+1N/DdrmrvINrYEmqv2/fd5kq3K6gZ25b9Y1XQ0FXV3sCGSk+wvMoTMDx+IzPUWqtxbaGIfGe8etHE17rr5KFaUQfgq7tt31yyGrobkgAEtNb+0LZCIFNr/W3o1vtCwAecHTr+RK31J42ulwuUAoO01puUUo7muoUopZxh1/kOWK61vjAUr01r7W20fx7myG85LdS+h6QCL2itL2l0/L3Azfv/ajU9l9a62QlwSikHZvJbi/nzq5fW+sfm9m0vmWAVm6QUQIhmbNnr+aytiSpARZWnSYupOg6nvTfQpnU6tcZ29h8+6msYuqy1fVMTHJMGZCYFbIqlbTl3VpJr0rj8jLGDMpK+tSlWtOWYWGS3qbSMJOfYAVmJ00f1SZ0xcWD6+CmDM7In9E/bWZCb9F1uqmt+ktO20KYoRvpRR7rSbj7/BZgJVUAppZVSGjPRBPgsbFswtN95YcfeBCxSSr2JWct+CXAxcCtmovaaUqpcKVWhlPKFalzrSokCoYTuS6XUI6FaVwCUUjcCvrBrTwQuCP3dB3iUUlc1eh91P38O1Vr3aukB/AdobmTSB2zUWqvwB1AB/LrRtp+FjmmcMB+hlKrrQX0O5p3d4Vrr0vBEVSk1SinVIFluD6lZjU07gQKrgxAikpRV+xZtq/Ae2p5jqmv8Lc6+DY12bAfatLh7aYU7/7f//OrbP1x4SE7oll+LHHZb74FZyb12Vnnnu/3Bw2nD7e3sJNfk7CQXe9y+bzdXupMNzai2xBXrXA5bfo7DlZ8Tdq9Jax10+431VZ7AzkpPwFPrCyb69q3SJYM41uvuAZdXMCc4+dhXmzkA+AaYHfoTzO+FRCD8Q+YvMOtU/wIM0FovDCVrlwNTgMuALcCdQHKoxrU+WdVaB5RSDwEPA2crpU7UWi/CTAK3AjNbiHklTT9k1Z33Q6XU/mZ75gGvNrO91clgzWj8Af3+UBwT2ZfINvdh8HzgBqXUYq319+29qCSrsUlGVoUIU+kJ/LiuzD2KdvzM01r7A0Fj5P72sdnULsPQbUpWAT74btPkEw4aNH/6mL6tju4qpRy90xNnVHn835TV+IYBWa0dA/uS1t21vm+2VLnTDM1+30M8UkrZk132Icku+5D8hqt01db4ghuqPIE9VZ5AsNZnpIZKCfKsizYudevvMK11BeboYb1Q/SbAHq11i9fXZu3kC0qpd+pmumutv1JKjdZar1JKXRa2X93t8vpkNfTai0qp+ZgJ7fLQa0HMZLakueuGPt82Lh2o+2D1kzbUrDY3UbTddaDh9bihMolRwLOhTXV9Zps7753AycA/lVKT2tuTVpLV2CTJqhAhbn9w08odNbm0s467xu1fCfuvA7U77FWGr32TZq99auG0ufedsjw92dWmGtO0ROeURKd9y9YK9zatGd3W6+Qku6bkJLsoq/V9s7XKnW5oRrQr0Dhkt6nk9ETHqPTEhr8a/UFjd7UnuKnSE6is8gZtXn8wO6gZhFkLKLpWzasXTey2ScJKqV6YI3+N/+PWfWpxhSWudZyAQ2sd3sdch873AHA1oVv4QBKglVLXYt4RSYL6/7f1I5la6600nCmvgUGhc7RVXcxfKqVaq1l9s5ntCrAppTKb2Z7UaHtzd5mGhrYvai3Q0AjzlcB84A7gt60dE06S1di00+oAhIgE/qCx54et1UGamc3fmopK757W9nE4HX5/O5PVoKEd59z/UfY7d5yw16ZUm0ZLnXZb/0FZyfk7Kj0LPAHj8PZcr1eya0pOkpPdbv/XWyrdmbqVvrKiKafdlpOVYsvJarhKl/YGjM1VnuD2Sk+gtsYbdHmDRr42k1j53dpx3T3Y0lpbrE9a2L4WKIT6TgDvK6XOBm4Dfgd4Qz1GnwG2aK3vCO2Xgtm7FRolyEqpJ4D/aK3r+qVtA45s4fo/NN6gtd5AMyVCSqnE5nqxNsOGWf7Q3GJC94Yejc9tD+slW3eH6JvG+zVHa71AKfUWcJ5S6l6tdSvN/xoGKmKPjKyKuGcY2r1sS9VWDUM6cnyN299qIul0OTr0M3Tr7pp+d724aE17jlFKOftkJB2ek+L6CmhXo22lFL2SXQePz08/oH964lcK2nVt0ZRSSiU67QNy01xTCnKTZ47rnzb1oEEZBZMHpQdH9UlZ1T8r4fOMJMd8p10twkxCRNts7Obz15V1ZDV61DXPPa6Z1/KB8FZ344FpQN/QDP0BwBHNXOtSzNHPulvw9aOfoYlW5zY6zq+1Xtnco/GJlVIJSqlRob8fo5R6O/T3mUBJaAS5bt8RSqlXWhgxXtvGCVbnheIPX5b6J5iJboslCM34FTChPYkqyKe/WCXJqohrWmtj+baqpUHNIa3v3ZRh6GrD0K3WeroSnPtd/nB/3vxy/ZQTDhq04KAD8ts1Upqe6Dwk0WnfuK3cvU3Tvlv7SimVm5xwSK8kly6r9X25tcrTS0OzrblEx9iUSkhNcAxPTXAMJ2Pf9kBQV1R7AxsrPYHyam8Qt9/IDBp6EITvJYBO9+TcH631lua2h93yrm5DL9HjgdWhiVFgJq4n0nRU9hbgS/ZNSgofWT0CcyGBZ8K2tacMYDrwbqh9VS77JmZ9E7reTcD1oW0KOAp4HLN7AQBa61sxuxi0Smv9IvBio80pwHzdhh6oSqmJWuvvtdab2nK9xiRZjU3yKV7EteIdNZ95A7rNLaoaq6rxFgMHtbafy+Vo0238llz5+IJD5t1/yo8pic52zdx32W2DBmYne3ZUehZ421kWAKGkNSXh0F7JLr2r1vfltipPnpYOIt3KYVcZmcnOcZmNVunyBoztVZ7A1kpPoLrGG3R6A0YvQzMEs+F8PFrf+i6WO42ms+uTlVLDMUdiE5RSJ7GvzrPJyCpwIfC11npz2LatNBzBDdd44tWZwEda68pQgusH0FrXKqXOB7ONnVLqNMw60fMxk9tvtNZ/a9vb3D+t9QmtdTYJ84pS6kOt9ZUduZYkq7FJbvGJuLW+rHZetTc4szPnqKjy1rZlP4fL0eZOAM3xBw3XuQ8Upb5523GVSqn09hxrUyqxb0bS4eVu3+d7a/3j6cBkH6WUyktJODQ32WWU1vq+2F7l6a3NSROihyQ4bH0SUl19eqXuy0211oFan7G2yhMorfIGvDXeYJI/qPto83ZzrK/S1a0jq80JJVx1K8Htt52TUupAYBLmkqJ1vJiTMV/FvIVegdlzNCn0ejJg1I1AKqWGYCab94Sdw47ZDWBDC9cN/3tvzNvydaOkGjNZTtdaV4aWa61bqesZ4Dat9eNKqT9httVqjY02fp81GlWt+9odr5T6NGx7IWY5Vpt6RzdHktUYNGdWQcUDc9fuxKyzESJubK/wfrGr2t/hEdU6bk+gb1v2s9lsyZjLKOZ09FobS6sGPvDq4i9vPHNiu3rA1slMck1LdjrWbatw79ChCSDtpZSy5ackTM1LdhmlNb7Pt1d7+na01ld0nlLKkZJgL0hJsBf0pkFrrepqb3BjqLWWdvuNtFBrrTatdhYlenRkVSmVD6wG0jFrwdfu/wguxFwo4Nu6DVrrl4CXmjn3ZMxlWKfSMAl/BDP/+jBsW3OtpeqWZD0t9HpdL9U9mPWuH4Sef4vZC7aiUVcABawCXg7FeT1t4ww92usrYANmuUFjy2laRtBmkqzGrtVIsiriyN5a/5LNez2T6eTIUyBg7NK67UmfUqpUa93hZBXgpflrDj1u8qDPxg3Jmd6R410O29CB2cm12yrcC/1B3dJtxFYppWz5qQnT8lJcwZ013s93VHv7axjU0fOJrmW3qdSMJMfojKSGv7p9AWNXtTe4udITqKr2Buwev5FtaAbTfLuhSNejI6ta652h1aM08J7Wer+rZ2mtr1FK/a+55VKbsRQ4CXPS2C/Dtt+EOQoZPos+fOJSuB+B94D/hR6EepS+HRbTGsxR904LrbiVSAfKULTWu+imD7mqDXWxIgo9MHft0zTs4SZEzKrxBtas2F6TRxdMVtld7v5i1+7aqW3df8u6HV8HAsGDO3tdl8Pmmf/AqZuSXI4DOnOevbW+heVu/yT23YLsMK11cGeN98sd1d4BkrRGF6214fEbm6u8ge2V7qCnxhdM8AWMulW6mh3FiwDVr140Mc3qILqSUsoW3ki/g+dI1lq3qTQpVsnIauxaZXUAQvQEb8DYvmJ7TQpdNKu6ssrbrl8sDqfdEwh0ZNXChnwBI/FnD37sfOW3P6lRSrVrAYNwWcmuw5Kd9tXbKj1OOjnKoZSy905NPCw/JSGwo9q7cEeNdxBdNIIjupdSypbksg9KctkH5YWlf4ahPTW+4OpKT2B3lScYdPuDKf6g7s++XqBWiobJVe3S2UQ1dI64TlRBktVYttrqAITobgFDVy7fWlUFdGo0MpzXF2xXgud0OfG427VyYItKtlcMefSd5Z//6uRx0zpzngSn/YBBWclVWyvcXwQM3eZR4pYopRx90hIP652a4N9e7f1sZ413CNC/s+cVPc9mU4lpiY6RaU1X6dpb7Q1urPQEKqo9QZvHH8wKagZi1nL2lJhLVkXXkGQ1dsnIqohphtb+ZVuqSgzNxK46p9cX2Eg7b3e7Epwt1Zp1yD8+Kp72k4kDPx/eP7NTCavNptIGZCVP3V3jXVDpCRxMyzVxbaaUcvZNS5zeZ1/SOhTo19nzCus57basrGRbVlaj1loef3BLlSe4rdITqK3xBV3egJGrzXrYjkzAaY0MsohmSbIau9ZhNiCWf2MRc7TWesW26m8Chu5UQtdYRZV3E+1MVp0Jji5v6n7hnz+eMO/+U9cmOO2d7n2ak5JweIrLUby90pNK103CcPZNS5zeOzXBt73as6C0xlcItKmDgoguiU57/0SnvX9u2r75NobW/lpfcE2VJ7iryhPw1fqCyb6g7kvnR9tXdPJ4EaNkglUMe2Du2tXI6jQiBq3eWTO/3B3odIuqxtZu3PulP2C0q4VUMBDcs3ndjuyujmXUwKw1L9xwdP9Qr8ROCxq6YluFe2XA0J2eDNaYobVve5Xnq9Ja3zCgU71nu1owGODxX57ByENmcfSF17Tr2O3rVvHIZbM559aHGDfjOADWLvmKp35zfrP7Dx0/hcseepG3H/s9iz9+k1OuvZPxM08AYNH7r3DgUbNxOGO313/A0JU13sDGSndwb5U3gMdvpAfMVbraunjGlFcvmrio9d1EvJFRt9i2CklWRYzZtMe9oDsSVa214Q8Yw9t7nN1hzwZqMJce7DI/bto77B8fFX92yU9GdaidVWN2m8oYkJV8cFm1d36VNzCVLryNa1PK1S896fA+aYnebVWe+btqfcOJjAk7LHj5abau/oGRh8xq13Faa17/860MGXdQfaIK0P+AMVz9xBtN9n/x7mvoO2w0Fbt28H3RGxx/2Y0UPfsw42eeQMDvY1tJMQcdd2an308kc9hUekaSc2xGUpNVunZUewJbKj2Bmmpv0B5apWswZoukOhqzTZMQTUiyGttWYa5XLERM2FXl+2ZHpa9Lb/3XcXsCq4ERHTlWKXZo3fXLlT76zvLpR0zo/8WQ/PROT5Kq0ys1YUaKy7F8R5Unhy6+dW9TKqF/etKMvmmJnq1VngVltb4RQF5XXqM9dm4s4eN/PkpCSrsX9+Lrd//DllXLueaptxtsT0hOpf/wsQ22rfpmPlV7yph1zuWUbd1I3sACJh59Cm8+fDsAy+a+x/hZJ3T8jUS5BIetd0Kqq3dOw1W6gm6/sb7KE9hR6Ql43T6j9t8/m1BjYZgigtmsDkB0K5lkJWJGhTuwYv1u9xi6qUdkRZV3R0ePtdlse7sylnDnP1A01h8IbuzKcya57GMHZiUn2pX6tvW928+mVOKA9KTDx+enp/VKcs0HdnXHdfbHMAxeffAmxs44jn6Fo9p1bNWeMj54+kGmnnI+vYe03mii6LlHmHbaz0nNykFrA2WzoWw2tGGW2a3/4TsGj5nUofcRq5RS9mSXfUh+esKhw/JSZo7rn9aWJvsiTkmyGts6vA6vEJHE7QtuXLWzJp9uXJGnutbX4RY9Dqe92/og1ngDab94ZF5taNWaLmO3qewBWUmTUl2O+bSyHnpH2ZRKGpCRNGN8fnpKTg8nrQtfe5bynds5+erftfvY9578A+7qSmory/nPvdfx9bv/wTCab5e5buk3bFv7I9NOuxCA9Oxc9u7Yws71q0nLyWWDJKpttcTqAETkkmQ1ti0BuvQXnBA9zR80yn7YVq3oxvXPDa29waAe2dHjHS5npxt/78+SdWUjX5q/5quuPq9SSuWmJczIS0tYDuzs6vPXsSmVPLA+aXXOA3Z317UAyrZu4KNn/8Jp1/2e5LT2NWvYtraYJZ+8jc1mZ++OrZRuWsvrf76VF+68utn9v3jjecYefhxp2ea3Z06/QeQOGMrD/3cyh5x0DkvjvASgHZZYHYCIXJKsxrA5swp8yOiqiGJBQ9cu3VK1M7REZLepqfH/SCeWJ3W5HN0+xfuBVxcfvnV3zdfdce4Ul2PCgKwkm02xuDvOX8dMWpNnjstLT8w2k9Y9XX0NrTWvPngz42ee0O5JVQCL3vsvWmvOv+MxLn/4JX715JvMvvp3/PDZh6z+dmGDfSt3l7Li8485dPZ5DbZfcv+z3PyfBUw85lRSM3NY+Npz3HHyROa//Eyn3luMW2J1ACJySbIa+76xOgAhOkJrHVy+teoHQzO6u69VUeWp7MzxrgRnj6xnfs79Hw0PBI0t3XFuh82WOzAreXyyyz4f6NaRYrtNpQwyk1ZXdqJzHtBlNb9fvvkv9mzfzIlX3tKh43dtWU+v/oMZfdjR9dumnHA2NpudbSUNJ6svnfseaTm5DBrdcF0Km91OZl5fvnnvZSb95FQ+ef4xzrzxfj5+/lGCQSnNbEbFnFkFsnqVaJEkq7FPktUWrF70Gfeft/+Rl7cf+z1/+/W57Trvnh1bePr6n/O7E8dz12lTeOXBm/DUVDXYZ+m893jw50dxx8kTee1Pt+D3eetfm//yM9xx8kQ+e+Uf9dtWLCyiak9Zu+KIdj9ur/ncF9RTeuJate5Ap0oMnC5Ht5UohKus9WX+8q8LyrXW3ZLxKKVs+WmJM3JTExYD3f4NZ7ep1EGZyTPH5aU7ssyktbyz51y+4AMqdu3gjpMP5MYjCrnxiELWLf2Gj59/lBuPKGz1eFdiMtl9Gq6dYHM4UXYbdkfDlkzL5r3HmMN+glKqyXn8Xg+e6mqUspGYmsboaUeTmJxKzd5urYCIVnIHUOyXJKuxT5LVZuzcsIaX7vkNuoVJEwAbfvieL958vl3n1Vrz4t3XkJiSxgW//xsn/fJW1ny7kFcevKl+nzXffc5Lv/81wyYdxjm3/YXt61by7uP3AGYD84//+Qin/uZuiv75MEbQnPeyatGC+pq4eLB2V+38Gl/w8J64VjBoVBhad6hlVR27w54P+LsopP36etXOMW9+uf7z7rxGaoJj0oDMJL9Nsaw7r1PHblNpgzOTZ47NS1eZZtJa0dFznX79vVzz1NsNHv0OGMPBJ53TpA1VcwaMGMvOjSUEA/v+OTeu+J6g38/AkePrt1WW7WTTj0sYNfWIZs/zfdGbTDx6tvlE1t5pzRKrAxCRTfqsxr5VmD/4u3xJyGi1uXgpf7/pYnL6DqKmvPlRDr/Py6sP3oQrqX2Tz/ds28Tm4qVc+NpTpGblmOfyuHnz4TswgkFsdjsfPfsXDpg8nVOuuQOAnL4D+dOFx3LUBb9CG0ESU9IYP/ME3nn8HqrLd7N760aGjJ3cqfccTbaVez7fXePv8qb/Lamq8a0COjWCq5SyAVvo5traOne+uOjwaaN6f5uXmdxt3xgOu63PwKzk3J1V3vluf/BwoOnwYVdf06YyhmQmzwwYunJzRe28cm/gQNr5s6tXv8FNtiUkJZOW1Yu+haOoqdjL3h1b6Fs4Cpu9aRe0g44/iwX//Qcv3n0th84+j6o9u/jgmT8xZOxBDW73l3z/BTa7g4EjJzQbx5bVP3DwiT8lGPDjqali+YIP8NRWkxL6uSAa+N7qAERkk5HVGDdnVoEGuqWXYrRat2wRJ1x+c5NJEeGKnv0LWmsOOal9JQA1lWbpXfgyxsGAH7vThc1ux+uuYfPKpRx41Mn1r/fqN5i8QQWsXfwlhjZQNjMnUEqhDYNl8/7HuJnHtyuOaLWnxv/9lnJvj9z6r1NR5fV0xXlsdltP3t9VZ9/30ZCgYWzv1oso5eidnjijV4prEV1wi76tHDaVPiQrZebYvDSdkeCYB3Sqpjhc8Zef8ugVp+J1N99/PjUzhyse+Q/aMHjhrl/x5sN30H/EWM6/47EG+5Us/oo+Q4c3+4F2W8mPDJtoruNgdzg58me/5NUHb+aon1+N3S5jRM1YYHUAIrLJ/5r48A1wpNVBRIrpZ16MzWbj2w9ea/b1zSuXsfD157jszy+wetFn7Tp37yHDScnM5n9P3c9Jv7yVqt2lfPbqs0w8yrwdWLVnF9ow6D204V3n7D4DKNu6gTHTj6G2qoI92zfjqa7C7/WQlpPbpFYuFlV7A6tLdtUW0oXLgLaFxxvo3xXnsdtttUawW+clNbC32ptz7VMLlz5y2fQ8pVS3LJRQJy3ROSXRad+ytcK9VffAhLc6Dpstc2hWysyAYezdWOGeV+kNTALaPZntsoderP/75GNPZ/Kxp+93/7yBBfz87if2u89ZN97f4mt9C0fRN2whgpnnXMbMcy5rY7RxZ6NMrhKtkZHV+CB1q2Fstpa/7QN+H688cCOHnXZhkxm+beFKTOL82x9l8cdvcefsSfz54uNIz87jpF+aM5P9XnMiVVJqw9+3CUnJ1JTvweFKYPysE7j/vFlMOOpkvi96kynHn93uOKKN129s+3F7TRrQ4cb8HeH3B7drzdCuOJfT5eiRmtVwn/2wffyH329e2Pqenee02/oPykoeluiw9fgomMNmyyowR1r96eZIa3VPxyC6zTyrAxCRT5LV+LDI6gCixSf/ehytDY656NoOHe+uruLVB29mxMEzOefWv3D8ZTexc+MaXr7vBgAcTrMdp83WeCBM4feZd6PPvOE+bnpxPidd8Vu8tdWs+W4hd8yexNuP/b6jbyuiBYK6Ytm2qlqgT09fu6Lau66rzuV0Obt1dLMlNz/35fQ9VZ5u7Y9aRynl6pORdHhOsutLuvDWfFs5bLbsgqyUmWNy07zpLsc8QNaSj37zrA5ARD5JVuPAnFkFW4FtVscR6baV/MiC/z7DWTc+iMOV0KFzLHr/v7gSk/n53U8y4YgTmXH2pZz3u0dYNu9/bCpeUj/pqmJXw2XoayvLcSXuq33L6t2P7z9+i4lHn0LRcw9z8lW3seSTt5ocF+0MrX3Ltlat15rWewp1g8rqrlvgzZXgTOmyk7WD1tjOvu/Dfoahe2wp0/Qk56H9MpL2KnMCZ49z2m05BdkpM8fkprnTzOViu225W9Ht5lodgIh8kqzGjx65VRjNViwsIuDz8tiVp9X3Z/z4+UdZt/QbbjyikLVLWl/tsmzLBvIGFTYoNehTYK7iuWfbZpJS08nM68v6H/bNedNas3XNCtJz8hqca+uaFfQ7YAx7d25j/BEn0qv/EPbujJ3PHFpr/cPW6m8Dhp5gVQw+X7Cgq87ldDksm+a9q8KTd9OzX27S4TP7upnLYRs0MDt5kMtha19hdxdy2m29CrNTZozJTatJMxczcFsVi+iQDXNmFWy0OggR+WSCVfz4GDjL6iAi2SEnn9tg1RqAr955iS2rlnPG9feS029Qq+dISc9i3ZKv69tUAaz6eh4A6b3yARg741i+eusFphx/FokpaSyd+x7Ve8sonDSt/jyrv13IsLDn9FwO0mNW76xd4AkYPdaiqjGPN7AW6Lpk1enojdlRs9tbPDXno8WbJ53ww6D5M8b267GvqU2pxH4ZSdPL3b7P99b6JwCWjC477bbcwuzUGb6gUbqxonZRtS84BUi0IhbRLjKqKtpEktX48ZHVAUS6tOxc0rJzG27L6kVCUnL9zN6A38eOdavI6TeIpNSmc4FGTj2CuS89yRPX/JSh46dQsWsHyxd8QN/CkQweMwmAmT+9jCWfvsujV5zGgBHjWDb/f4yaeiT9DxhTf54VCz9i9tW3A5CV35fFH7/Nrs3rycrv211vv0dt3O2eX+EJWJaoAlRUebfQhcmqsqkEYCeQ31XnbK9fP/X5YXPvO2VZRoprXE9eNzPJNS3JaV+7vcKD7sKvaXu57La8Ydmpeb6gsWNDee2qGn/wEKBjNT2iJ8yzOgARHaQMIE6EbrWstjqOaFe5u5RHrziVdUu+bvb1gSMncPEf/k7Q72Phq8+yYmERQycczHm3P1o/0pqalcOvnniDgSPHs3PDaqaffhHn3vZw/Tmqy3fTq/+Q+v2PuuBXvPvEvRx41Gwycnt3/5vsZqVV3q92VvmmWx1HVY0vqavPqWyqx+pGm2Nobf/p/R/mGlrv6elrJzjsBQOzk/s47crykiOX3db7gJzUGaNz0/akOO0LAG+rBwkryMiqaBPVgyVOwmIPzF37KHCV1XGI+FXh9i9ftbN2GBbfotVaB1et21NDF7fK2rJ+5xcBf2BqV56zI04+ePA3d/3s4B5dXCHc3lrfZ+Vu/2Sgyz8QdIQvaGzfUF67JjTS6rI6HgHAujmzCiwbhRfRRUZW40uR1QGI+FXrC65ftbO2HxFQS1jr9hfTDT1dnU5717UX6IS3v94w5etVO+dbdf2sZNf0vumJm4GIaPbustv6HJCTevioXmm7ks2R1h7viSuakFFV0WaSrMaXucgPaWEBX8DYtWJbtQPItjoWgIoqb7csjepMcEbMz9RfPj5/ao3H/6NV109w2g8YlJXcy2FTX1oVQ2MJDlu/4Tmph4/qlboz2WH/DPl5aKV5VgcgokfE/GAV3W/OrIIqoPX+S0J0oaCha5ZtrSrTMMDqWOrU1PozuuO8LpcjIm57AwQM7Tzn/o/StNYVVsVgs6m0AVnJh6YnOhYAETHqDJDgsPcf3it1+sheqTuSHLaFQMDqmOKQjKyKNpNkNf5IVwDRY7TWgWVbq4oNzUirY6ljGLo2aOhuiceZ4MzsjvN21KZd1QPue+V7y0ZX6+SkJBzeOz2xBNhsdSzhEh32ASN6pR02slfq1lDSGrQ6pjhRElqsRog2kWQ1/kjdqugxK7bXfOkP6slWxxGuusZXTDe1Mwr1Wo0oLy8oOXTJurIFVseR5LSPGpiVnG63qW+sjqWxRId9UChp3ZIoSWtPkFFV0S6SrMafRcBeq4MQsa+ktHZerS9oeYuqxiqqvFXddW6b3ZYGlHfX+TvqF4/MPdjtDViyNGo4u01lDMxKnpKW4JhPBN56T3TYB43slXbYiJzUTYkO2+eAYXVMMeoDqwMQ0UWS1TgzZ1aBAXxidRwitm0t9yzcU+ufaXUczan1+Lt19FMptbM7z98R/oCRcP4fi1xa62qrYwHolZowIz8toRjYbnUszUly2oeM7JU2bURO6sYEuyStXcyNJKuinSRZjU/vWx2AiF27q33fbi33HmJ1HM0JBI09WjO8O69hs9ssm9C0P2u3Vw55+K1lS62Oo06yyzF2YFayy67Ut/vbb29ZKXddcyGzJw/mxAMHcOvl57BnV9s/D3z67mtcfPwhnHjgAC4+/hA+fP3FBq9vWreGO66+gNmTB3P29FH846HfE/CbTQIS7GrI6/deO+2e0w/WJV/P/YFQ0vrlWy+09+2KfT6cM6ug1uogRHSRZDU+vUkE3oIT0a/KE1i5tsw9gghdyrmy2rsKUN15DYfT7u7O83fGcx+vnLZy817LV5iqY7epnAFZSZNSXPb5NFMnqrXmrmsvYuXyxVx4zc1c/OtbKF7yLfffeGWbzr9u1Qr+fNu1nHzuJdz79MtM/8nJ/OnWa/hqnjnPdPeuHfz6vBMAuPuJF7jkut/x3n+f54+3/AqA4qXfsm7VCs648Ar74vdeHDM8J3Wde8/ORVV7SrvoKxCXXrc6ABF9IvIXiuhec2YV7Hlg7tpPgJ9YHYuIHR5/cEvxjppsINXqWFpSWeXr9g9pTpcDrztiujQ1ceFDn0ycf/+paxOc9ohYPUgppfLSEmfU+AJLSqu8fYG8ute++2Iea4t/4Jl3Pievb38AXAlJPHLn9VRVlJOWkbnfcy/48G3GT5nGKef/AoBxk6eybNHnfP7xexwy8xje+vczJCQm8ts/PYXLlcC4gyAYDPDQbb/m0ut+x86tmxk2egKHHX0iH73xEslOe+HGz97j9LPOW++123b6gsbBdPOHnxjjB961OggRfWRkNX791+oAROwIBI3y5VurfYQlGpHI4w0M6u5ruFzOiF7O0+MLJl/w50+01jqiRoBTXI4JA7KSlE2xuG7byHGTePTlj+oTVYD0zCwAtG69jLRy7x4aLyke8PtJSDQXUVu9YiljJh2Cy7WvOcTAIcMA2LltM4ZhYLPZUEphGAYBv589u3ZSWDBsyOjctEMOyE5Z7bKrrwBZt7xt5s2ZVSATfEW7SbIav95AVm8RXcDQ2rt0a/UmDUOtjmV/fP7gFmBgd1/HleDslgUHutLKzXsLn/7gx++sjqMxh82WOzAreXyyWRagU9LSGVTYsMR40Wef0H9wAemZrS+GNuGQ6Xz/5Xw+//h/uGuq+ejN/7D6hyUcedKZANhsNirLG+ZO69esBKBXXh9ycvPZtmk9m9eXkJ2bz/wP3mL6sSfX75vicgwfnZtuJq029XUn3348eMPqANpDKdXhD55KqWbvXCuluqVtXqyTZDVOhT7dfmx1HCK6aa2N5Vurvw8aepzVsbSmosq7oSeu43Q5cnviOp311/d+OGzd9orPrY6jMaWULT8tcUZuasJ3QINlcbduXMcnb7/CaT+/vE3nOvwnJ3PMKT/lzl9dwOyDhvDH317NL2+9j5Hjzda/4w6aypKvFrDgg7fM829Yy4tP/omCEWPI7zeA0ROnUFtTzR1X/Yzjz/w5y7/9knGTpza5TorLMXx0XvrBw7JTip0R2Ec2QhiY8yUspZSyK6X6NrP9NKVU409AzymlipRS9nZe42pgvlLK2Wj7KGCZUmpsC8elND6mlevYlVKpLSXGsUQ1vkUi4scDc9deCDxrdRwiehXvqJ5f5QnOsDqOtli3ae+XPr9xaE9ca8PqrW4gYpZebUlKgqNq7v2n7HY57IOtjqU5/qCxfVuFe5ehGWcYBtdfMJuaqkoef+VjHM7Wf6d/8cn73Dfncs648EoGHzCSr+d/xNx3X+fWh/7O1COPw11Tza1XnMvyb78kLT2T6qoKtNb8+u6HOO70880YfD4qy/dQun0Lm9aupuTHZXz63utcdet9zDrhtGavW+0L/LihvLbGb+iDuvQLEt3mz5lVMLO7Tq6U6g24Qo9kIB3IBnoBvYFBwAHAgZi9kEdorT2hYxOApUAGcK7Weq5SKgNzxbVrtdb/aGcsfYElwHNa6zlh2+8DTgPG1V270XHzgI78PD1Uax3TS6lLshrHHpi7NhPYifmfW4h22bDbPb+0yhcViarWWq9at2c35i+ubrdhzdb1aIb0xLU6a/yQnJXP/ebIIZF6e1JrHdhZ5f38H4//6fB///WP6pH/fEDBiDFtOvayU2Zw9OyzOeOifd0D7r/xSlavWMLf3/2i7vws//YLdmzZxHOP3ofL6eLv732J3dFwsOrxe27mlPN/wbXnHs9lN97FC0/8iWff3/+d/ypvYMWGilp3wIisVdwscsWcWQVPdtfJlVJ/An4TtqkWqAFygS+AVZh9fXdg/t6bq7XeFXZ8OvA84NNan6WUuhm4tw2Xnqy1/k4plQT4tdaB0PkuBIZqrX8Xep4CbAIu0lq/rZRSgB1w1tWPK6X6Y05899KwDvpS4CzgmEbXtmOuxretueQ3lkgZQBybM6ugHCkFEB2wo9L7ZWmV73Cr42grjzewhh5KVAHsNtuenrpWZy1dv3vEC3NXR2y9pVLKsX7pVzP++cgf1KW/uc3d1kQVYMuGtQweNqLBtoIRY9ixeWP4+Rl30DQGFgynbMc2fn71TU0S1bKd28nIyqF89y76Dylg5nGnsnPr5lavn5bgGD02L31yYVbKDw6birga4R4UAF7t5mvcCgwAsgCH1joFmBJ67Uat9cVa61u01o9qrf8bnqgCaK0rgVOBnyml+gG/BS4ARgB2rbUKfwA5oUPLQ3++D/iVUloppTHvWt4W9rwac6T3rdBzA3PeyGdhMWzRWm/QWm/XWu+oewCJmAnpjkaPrVrrdbGeqIIkq0K6Aoh2Kq/1L920xzORKGrZU1Hl7dGVkuwOe1Q1Pf/j60sO31JWHZG3EdesKubqS8/j+NlncPWvrt2t4Me2HpuRlc2qHxY32Lbos0/Iye/TZN+XnvoLhaPGNXtr/3+v/IvjzjDLAjpyNzItwTFmbF76pIKs5OUOm/q+3SeIfh/PmVVQ1s3XCGDWOFdprZv07K2jlLIppZLCa0OVUoVKqcna/MetS6y/Bz7CvJ0/q5lT1dWx1k1UPgvog5mQZoU97gE2NNqWhZns5gLHNxNjmlIqs+4B9APKw7eFHhF5N6Q7xHxRrmjVm4APKQUQbVDjC65dXVo7CPPWU9SorvGl9OT1nC5H0OeNrmYb59z/0ci5952yxWG39W99757h9/u5+tLzcDicnHPBpaxcvri/YWj/ll17vx88ctxEd0015bt3UTCy2fkqHHrEsbz4xJ/ZunEdObn5LP/uK35cvIj/m3NXg/2Kl37Hl5++zwPPvoF5d3Yfn9dDdWU5OXm9CQaDbFm/lk/ffZX8fgPa/X7SE5xjx+Y5qfD4l26qdBsBQx/Y7pNEp5d64BoXAE8DTf4Ngc+a2XYR8Fzo7zcBlyil3gKuAS7BvBV/K+ao5muh4xVmLXoa+5LVAIDWujR0bRsNf58ehTnq2nj006db7r+2CJpdae/sRs+vBR5u4RwxRWpWBQ/MXfsOcKLVcYjI5gsYO5dsqfIDEZPMtIXW2r9q3R4f0GMJa8Weqs/3llVO66nrdZWDDshb8dTVMw9oz4zk7rRi+RJOOarp7HuAh575z4pFi74ufOvFvye88fXaZvfx+by89LeH+OC1FyjfU0ZGVg5Hzz6LC6+5Bbt93wTvGy48hcTkFO7+a9NlVL/89AMyc3IZOX4SAI///iY+ffc1rrrt/hYnWLVVhce/ZGOFm6DWEzp1osjmAfLnzCqo7M6LhCZE5WAOvtQt/jEA+AaYHfoTzDvKiUBZ6NY/ofrRc4G/AKdqrRcqpQ4BFgKHApcBW4A7gWStdU2oVGALkF+XqIbONS10XGuO1lo3W4anlFoCzNNaX7uf9+sBrtFa/60N14p6kqwKHpi79lxAFrsWLQoaumrx5spthm72035Eq67xLduyo6pHW2vVVnuWlm7bPb4nr9lVbjtn8vzTpxVExcQ5X8DYsK3C7dXNj0JFjXKPf/GmCrctqHVUfs+04vU5swpOt+LCSqnBwHpguta61QRSKZVel8CGng/XWq9SSj0DbNFa3xH22kBgI5Cjtd4Ttn0S8C3m92RLCfp2YJrW+osW4vgWWFiXrCqlbgT6hCevoWT1Kq31M629r1ggZQACzLWay4FMa8MQkcjQ2r90S9VqQzPJ6lg6oqLK2+OTnZwJjh6bzNXV7n7p28MPG9VnUX5WcsS3XXI5bIMHZid7tld4PvMFjelWx9NRmYnOAzMTnZR7/N9vqqh1BDUR37e4HZ7v7gsopXphjuA2Xk65rlzJpZRKbPSaE3MiVviqEDp0vgeAqwFfaDJUEqCVUteyrxRgdOiYxvWxdc9TMCdRtaT1Jdj2ORSzrVbckglWgjmzCjzIyKpowYpt1V8HDB2ViSpAjduf0/peXcvhsPem6S/OaKHOvu/DgqBh9OiktI6yKZXYLzNpelaS83PMVkVRKzPROXFcfsa4wRlJ39kVy62OpwtsBt7tgevsAqoAd6PHytDrnzTzWiVmbShQXwrwfuj2/m2Yk6AytdaZwL+A+0J/z8ScRFV3W7ql/+ffA2taeLRXH8z2W3FLklVR52mrAxCRZ01pzXy33zjM6jg6KmgYVYahR/b0dUMr3uzo6et2lfIaX/Y1f1tYur9Z1ZEmM9k1rW9G4g4FzRewRpGsJNekcfkZYwdlJH1rU6ywOp5O+NucWQU98T00AMij6Yz7urKK45p5LR8I/9k2HpgG9NVae0PnPKKZa12KOWJbV/Tc0vvLatzuKqztVWvCOxU4gZGYpQUt7hfrJFkVAMyZVbCU5v8ziDi1ea/ns721gaioXWxJVbWvGIvKnWw2tbv1vSLXwhXbx7//7aa2TBSJGAkOe8HA7OTeTruKuGVkOyI7yTV5fH7G6EEZSYtsqu0tuyKED+iRespQf9JdWuvy8Af7akarG7+mtS4N9TCtczywWmtdN9o6DbiimcvdgjnS2aAbQDPKlFKB5h5teEvh3VZOwZwQ9mmopVVdsruKKL+T0B6SrIpwcVGoLVq3q9q3aHuFt/lp2FGkssprWbNsu8NebdW1u8otz381fXelJ6r6gtqUSumfmTwtM8m5kKbtgqJSdpLroPH5GaMGpid9Y1MUWx1PG70+Z1bBTquDaIfTaLpwQbJSajjmSGyBUuokzKVcofWR1V5aa0dzj9Dr+xthnQncrpQqxOxQ8DfMxPsdYJFSaqbWerzWutvrgSNFlyWrSil76NaXiF4vYq6yIeJYpSfw4/oy9yj2/TCOWm5voGn39x7icDqiq9FqM7TGdvZ9Hw4wjIar/USDrGTXYX3SEzdiNmSPCTnJrinj8zNGDjCT1pWtH2Gpx628eGgEsm6i2n5LEZRSBwKTMJPBOl5gLGYCm49Zp3oO5uQqMJNWQzdtqVSXhGY008S/rsk/7L9X9V7MnqpfAcXAzaHrnA8swxxl/a9SyrKfbz2tQ8mqUmq4UqrxzMsjge1KqQ6vgayUekwpdXcHjktQSi1QSp3biWv3V0qdq5RKDT0/WSk1qo3HpiulJoTW/m38Wm5bvqGUUm8qpa5qtG2SUqpaKZXb1vfRGXNmFVQhE63imtsf3LRyR00uPdiTtLsEAsYurRlm1fVdCY6oT/YByio9uTf844vN+2lgHrESnfbhg7KScxw29aXVsXSlXsmuKePy0ocPSE/6Wpm3gyPNsjmzCiwrIVFK5WN2uHkLc0SytTrmC4FawkrhtNYvaa0HaK3Haq0P01qfoLU+F3M1q18CTwHrmjlX3f/7DZhJZ3MPMG/tN477IqXUvzBbWz2CebfzeK11dSimLVrrizFLFCYAK5RSp7by3mJCR0dWfwrMU0r9IWw09Xxgpda6M3WPE+hYe4a7gQOBpe05SCmVHBoRVpjF2S+w72tyPeY3RFscBCwGCpp57SHgjVbiyAFOYt9aw3WqMJMGbxvj6Ap/7cFriQjiDxq7f9habWAuARj1Kqq8HZl122VcLmdy63tFh0+WbJk4d9nWz1rfM/LYbCptQFbyoemJjgWYdZQxQSmleiW7Dh6fn35A//TEr1THZpl3lyesvLjWeidwI3A5MDq8aX8L+18DnKa1bks96VLM39fVmKtgNVaXhLY4wSr0+KCZY9OByZh5wxCt9U1a6ybfs1rrL4GJwIeYnRBiXocXBVBKXYq5mkNdXdtqWl+y8zGt9dWhlSaSmnn9Dcz2DA8281pteLPesDjOwbx93ZwaYITWektzLyqlqmnfCNJDWuvfhB2fg9m+4mDgf5gJ84ZGxzwGDMH85k4EdodmGobHcRVwP+bsQz/mChk7wxoap9V9suoJD8xd+zn7/l1FHDAM7V68ubIkqGl+3cootH5z+UKvL2hZJwOf179+28bSIVZdv6vZlArOvW/2DxkpCVHbuN7tD/64o9KTTpStwtYWWmtdVuv7amuVJ1dDoYWhVAL95swqiNmSMqWULRrvNESzDteshlZNKNRab8T8FLAQ6IfZl6y5Vg3vYA7LA/wZc5i78eMQ4DctvHZ/4xiUUudhNhy+vNG1MoEy4M6WEtWQHMyZwjbM2hTCzvEdcFHY869pWqz/MmYy+Z/Q80+BkkaP04EpmLch1mKOHjd2BfBiaBWMqzB7wjWhlHKEVs3objK6Gke01saybVXLYilRBfD6gkOtvL7D6eht5fW7mqG1/ez7PsozDB21XQ6SnPZRA7OSU+029U3re0cXpZTKTUk4dHx++tB+aYlfWNjC6/lYTlTB/JlpdQzxpt3JqjKdqpRyaq3dSqkrgRMwazgexxxJbI4dc9QQzFsx32OOroY/NmOuwdt4+ybMW+J1MSQqpR7ETFT/CLzcqHj5dmA38GzY9ube67OhmPzAktC561pLTAL+HvZ8Mo1GjrXWR2mtM0LvH2Ci1rpX+AP4J/C51jpLa52ktf660dfzSGAUUNdqxUfTW1WTlVIPA1uBXzf3xe1irxAntxYEFO+oWegL6IOtjqMreX2BDUBfK2Ow2VQSMfb/aMfe2j63/fvrdc1MKokadpvKHJiVPCUtwTGf6F24oUVKKVteSsLU8fnpQ/qaSWtzdZXdSQY7RJfryMjqDMxkZrVSajbmyg7HYtZanAycppQqDz1qlVL/FzrOzr4fDD7Muxaeukdoe39gW/j20GuahrPUf4+ZtG0GbqJp8fKvMdfl3RW2rbl60izg8VAriTOA8rDWEt8BlzRqOXF9K1+bZWHvvVwpVU7zNS3hbm303AAMpdQBwC9C2z4EBmLeXun2mqs5swp8WFxzJHrGurLa+dXe4OFWx9HVKqq8m6yOAUApFVPJKsB732w86KuVOxe0df9AIMCpx0zjkQd/3+ZrzLn6FwzLT27wuO7Ki+tfLyvdyS8vPocJQ/MYMyibS887lV2lZstMwzD41S/OZ+rYIXz9xb4y2xeee6rBNXqlJszIT0soxrxzF3OUUrZ8M2kd3Dc18XNl3gXsbnPnzCqIltZaIoq0O1nVWs/DXBN3I3CS1roKWAD8HXNk9SeYSV8mZjL4bOjQ8GS1uU/lx2O2fDiyhVHQ8GH32zGT5k+AfzYqAagFTg17Xlcz1twkpYHAVaG1f98AMpVSOvR8EubIrG70uGk/X55xWuvM8EfY+29CKXU85iSuHeZTNQ6Yjln7ugRz4haYhdanAtvouZGARzG/liJGba/wflFW7Y+5RBWgqtrXWv18j7A7bBVWx9Adrn5iwdRqt79NKys98/hD/LB0cbvO/8PSxfxqzq28/uFn9Y9rb/wdAFprrrrkXJYt/pZrb7qd6357F0u+/Ybrr7wEgCXffcPKFcu54Be/5G+PmNMfdu8qZdfOpguKJbscYwdmJbvsSsXsgihKKVt+asK08fnpA/ukJnyuzN/d3UVGVUW36FDNqtZ6FWb7hmtDz4PA0Zjr6Ybv59Va1936D09WGwh1FLgRs3/YmcCH+2vXpLWu0Vo3WaEkdEwy5mSvxprUmGitR4cS2rqWURe0VLMa2racsHKEzlBKOYCHgScxb+/PDl1zQij+fKBuVLpuYpmTHkpW58wqKEOWYI1Ze2v8izfv9Uxm/42po5LW2vAHjBFWxwHgcDpiZvZ5uIChnefc/1GG1nq/yXjJ6pU8+qd7SU1Lb/O5PW4360pWMeOIYxg7YVL9Y8CgwQAsnP8JxT8s4+V3PuXC//slF112FdfdcidffDaXivK9bNm0kTHjJ3LMCbPZssnMy/77wnOcee6FzV7PblM5A7KSJqW47PNppR9nNFNK2XunJk4bn5/ev09qwsJuSFq3AW928TmFADq3KECq1rpaKTVaKeXDTLA2Au8DA8NuhbuVUpdgJqst/SB4FBiDmagehDkiu1gpdUgrMTTuYzg2dI2SZvZt8l6VUn2UUv/ErLP9T0urQYQmNt2OWVqwv1tG6xuPxGLW4DYRapHxf8AdoU3vAkMxe6vVhEasG3PRszVWf2JfnbGIETXewJo1u2qH0nr3jqjk9gRWYk6ytJzTZclKrz1ic1l1/3tf/q7FW76GYXDztZdz3EmnMWps2xsIFP+wDJvdzvCRY5p9fcLEg3j1gwX07T+gfltmVk79NbU2sNls2Gw2DMPA7/eza+cO+g1oeW6qUkrlpSXOyEtLWAbst81RtAslrYeNz0/v1zslYSFmOV1XeGrOrIKYqwEWkaEzyeotSqmfYq6ukIXZUywTOA7YFHYbPAP4N82MrCqlXEqpZzB7oV2htV6ttd6OeYt/FWYv1wn7icEBXBCWGH4Suo43bFtdnU59A16l1CCl1BuYyfU5oc0/bZRk1pcBYCZsE4H7CK1woZRyNlOuMKSZLgh/D+2vQj1dk+uO01rPDXUAAAhorVv6oTFNKfUEZvlF++6ndcKcWQWbkUUCYoo3YGxfsb0mlY71M44KFVXeiKkTdSU4m2vRFzNeWbj2kMVrdzVbv/rcU4+xfetmbrvnj+0654rli0lISOSM42cwZlA2Rx48hmeffLT+9bT0DIYNH9ngmAWffMiQgmFkZeeQm9ebjevXsnbNKnLze/O/t17j2JNPa9O1U1yOAwdkJWFT5oTbWKaUcvRJSzxsQn567/yUhM+A/XXOaU0tUgIgulFnktVjgelaa0NrXQNcFLq1XU8pNRU4NNRXtLmR1emYtarXhY9qhs53InC11nrJfmJ4EfhJKCnshTnqeUnduRsljuGlAZswGyifjVm68F1Ycjkcc7JVeuh5XTufa7TWt4eVNfwHqAxNonoXqACWNDPB6gzMW/t7gT2hP9u6qk7dLdr1mD1jj9Zav9vGY7vK/TRTQiGiT8DQlcu3VlUDMb1EX3Wtr+33nLuZy+WM2Q8Fdf7v0XkH13oDDZb+3Lh+LX+57y7u/uNjZGRmtet8yxZ/h9Pl4qzzLuSpf73G0cefzL2338grLzzX7P4b16/lrVdf4sLLzGquSVMOpaa6misuOIuf/uxiFn21kCmHtr3drsNmyxuYlTw22WmfT/PzK2KKUsrZNy1x+oT89PxQ0rq1A6d5cs6sgoj5kChiT0eXW+0HjMccMa3zNE2XDzsGsxk+NDOyqrX+BLNX60ONr6G1dmut91szqbX+n9b6I6VUOmbP0zXAc63Fr01ztNZv0PSH0aWY7aacjbY3SMS11qdrrVPDRpAvAaY0mlyVB9wF9Alty9BaJ4Rqftuibu3gPVrr67XWC5VSRymlhrfx+E6bM6tgJVKHFPUMrf3LtlStNSxcfrQnGIb2BIN6ZOt79gyHK7Z6rTbHHzASzn+wKLGudElrzc2/voLjZ5/OrKOPa/f5rr7+Ft786HN+dskVTD18Fjfdfi+zzzinyWx+MG/733Tt5QwtHF5fk5qQmMibH3/BgsWrGTi4gAmTpnDXzb/hoBH9eef1/7YpBqWUPT89cUZuasJ3mG0QY15d0jo+Pz03L8W1ALMGtS08NL+QjxBdpqMjq6di3jL4qtH2oZiz7xNDM93DJzk0W7Oqte7UjHOl1OGYq15lACe31KxXKTVbKXVp49FfwlbSUkqNwGzQ/wRQEOpt2gczeXXvJ4Y5wH/Z12qqzlTMzgVLlFJT2vXGAK31ytCIb1nY5vMw64J70n09fD3RhbTWesW26m8Chj7Q6li6W02tr5hm1ty2it1uy2DfBMmYtW5H5eA/v7F0OcC///Ekmzeu55a7H+jQuQYMGtygHhVg4pRDWF28AsNo+OP9qUf/xLLF3/Lg48/gdO4bX3C5XOT37ss7r7/MQYdM4923XuWWux9oV/ssgNQEx+T+mUk+m2J5h95MFLIp5eqXlnT4+Pz0XnnJrgW03trrmTmzCpq2WhCiC3U0Wb0UeK9RY+idmP1Xr8acNX8RDZPVZPaNrDYetWxCKZWtlDpZKfULzITRE/ZaslLqHKXUh8C80OPwsJmpAcwWWIWhx3DMRPIWmibM9wBnK6V+i5l8r8UcDe0NHA58BAwCpoS6FoTHmKeUehszIb1Ua31D+Othbb62AZ8rpeYopZqbfW1n32SXcqBQKXWoUmpEo8dBwJHA6619/brSnFkFi2hhVS0R+daU1i5w+41pVsfRE8qrvBGXGCqldlodQ0/416erpv64ac/CD959kx3btjJxWJ/6HqnffPEZj/7xXoblJ+/3HFprvlo4n+rqhvNLy/fsIRAIEAjsuzn35Wfz+Mv9d3HzHX9g5OhxTc61Y/tWsnJyKNtVytCCYZxwypls3dz+CfBOu63PwKzkkUlmWUDcsCnl6peedPj4/PTs3GTXfMwWi435aGZ1SSG6WrunqoYSpjFAg4/NWusmt7tCo5j3KaVew6wFrVtJoy1FTOXAHMyJTp8Dr4a9loM52lcMTNNaf9no2KeBm9k30x7MT4dX1iXYoQUNHsCsdc3GXJ71EeC+0GjvO8A7SqmjQud5PfTnnWHv7WPMr+EUrXWzPQe11luUuUrVH4DfYt5Sb9xaK5F9E15ex5z09SZNux0EgR+x5pbLHzATZRFFNu1xLyh3B2ZYHUdPcbv9Lba8s4rNbisPBmK2I1IDFz306aRn7/nzRozAoPDtt/zmSsaMn8g5F1za6jmuu/IirvzNTZx3odm5z+/38+4brzBq7HhcLvMz/ZpVxVx96Xkcd/LpnH/x5c2e57//fpazf3YxWzZtRHdywS2llKN3euKMKo//m7Ia3wFESLeJnmBTKqF/etKMvmmJnq1VngVltb4RmCVuAM/OmVXQmYlZQrRJu5NVrfWiUPP6Vtf+1VoHQjPfJwG/q+uNqrU+tw3HGkqpYwF3qI9r+GublVKjtdbNxqC1vhK4spVLfIJ5O3098C3wdaidVONzfQx8HIplXqP3NhsoDU0I2+97AW5USv0l1O2g8esjw/5eibmwQkSZM6vgkwfmrl3EvoUKRIQrrfJ9vaPS1/aZJVEuGDQqDE1E9FcN53DY3fGSrHr9waQ7394S+M+Nx9QqpeqHUZNTUsnNy2fUmPHs3bObLZs2MGrsBOz2hp/HlVKcf/HlPHjXrVSWl5OVncObr7xIyepinnz+FcBMXq++9DwcDifnXHApy5d8V3/8kMIDSE1Nw+vxUFFeTn7vvhhBg/Vr1/D/7d15eJxl9fDx75nMTJKu6RZKS6GQQClrKTtlsUBRFBSxsqMtoOAKChZElB+KinVDeUVcoAgqUgsiAiJbKRQoS8tWCm3pRvc9y2SZ9bx/3M80k8lkbZJnkpzPdc3V5FnPhJKeuZ9zn/vRh/7B6DGNcuh2G1gUOqYoVLBufUXdBnXLZPcZAZGiMYOKTx49sKhufVX9vG11sf2xEjHTTTrUBFBVl7Tj8OtU9dsdvE+zCXFL+9px7WvacfyTOba1a/m6XIlqD/MT3EpfJs9V1iUWr95edxi71/GjR6mKxD4AjvU7jmyhcDAVre+VawPktHRdRdkf/vve/Ks+eUjOD0rPPfUEN1x9JQuXbWDQ4JIm+6/85nVEo/Xc9+c7qYlEOGTCRO558FFOPMU92Fn2wXusWOaaD1x8zhmNzv3rw09y7KSTmf/8M5x97nkA7Dl6L8465/P89OYbuPmnTebytluoILDXPkP7xTZW1c+LJlJ95qlFWkCkeMzg4lP2GlT0xzMOGrHa73hM3yC7+3jE9C0z565YQB4mBKZBXSy5+t0NkYG4cpk+Y836yhfq6hN5t3xs5c7Iyzu3Vp7gdxzdbc6Nn3ipfNTgXl0rXVkXf2VHbewQYKDfsXSzGLD/lPHDP/I7ENM39JlRF9NpvtP6IcYv8WRq2+INEaGPJaoA9fWJMa0f1f3C4WDe9H3tTl/45TOHxxLJdj196mkGF4eOHz24eLvkXuK7N/uzJaqmO1myatplxuSyF/FW8TL5JZnS2rfXVW9W172iT4nFkxvUtc3LO6FwKO8mfXWH2mhiwOW3PxdT1frWj+65wsHA2L2H9ts7XBB40e9Yukk9rouOMd3GklXTETeQo2eu8Y+qJt9dX704pRzsdyx+qKqOrmz9KH8UBAOlQNTvOPzw7uod4+57dulrfsfR1QIiRaNLik8aUhx6CbfaYG/2uynjh7d1wQBjOoUlq6bdZkwuWwLM8jsO02DJxpqXY0lt98ITvUVVJJa3v8u83sp9tmn6rx95++SPtlZntxfslUr6hSeNGly0SVy/7t5oO9C+lRWM6QR5+wve5L2bgd1afcx0jhVba+fVxJIn+R2Hn2LxZJnfMbQkUBDoE0t2NueimU8fFE+m1vodR3coDBaU7T2038hQgbzkdyxd4IdTxg+v8DsI0/dYsmo6ZMbksg3A7veBMbtlQ0X9/O018T7XPidTfTSxAtjD7zhaEgwW9PZHwy2K1MUHX3XH89WqGvc7lu4QEOm/V0m/SYOLQy+SsfpiD7cUuNPvIEzfZMmq2R0zcSt/GR/sqIkvWlcR7fNtxCqrouv9jqE1wVCwz9d4L/xw60Fz5q942e84utPQfuGT9hxUtAZo/zqv+ec7U8YPb7JwjjHdwZJV02EzJpdVAT/yO46+KBJNLP1wa205EPI7Fr9V18aK/I6hNeHCYIcWYOltfvzgwlM27qjp9ROuMhWFCsbtM6TfkGBAenLd7rNTxg+3LjDGN5asmt31e3rvZIK8FI2nNizZWDMY6JP9OzOpaiKRSOXdEqvZwoWhAX7HkC8u+NlT+yeSqT41mzwQkEFjhvQ7flBR8AVcQ/2eJAVc63cQpm+zFazMbps5d8V5wIN+x9EXJJJa+ea6qm2qdGhC0dYP3uCFmVfm3Dd83JGccv0f23W9nauWMPfH0/j4bY/Qf/goADSVYskjd7HqhUeQQIBxZ36R8ikX7tr36l3fZfvyNznmqp8yYtyRAKyY+0/KJn++3e+npja2eO3G6kPafWI3i8cSa9ev3pyXixb44YTxI9/53VdPPkhE+tyIc108uWRTVf0gYC+/Y2mje6aMH36530GYvq3P/aIwnW/G5LLZM+eu+BJwut+x9GYp1eg766tXqTKho9co2Wc8p37//ibbX/3DdynZp30DlKlEnDdm3YKmGpdjLvn3H1j25P0cet7VFA8pZdFffkzh4GGMOeYMdqx8l8q1yyk//UKWPj6LEeOOpL5qB/UVHSt9rqiO9oia6WCoYCRuhMqeZgEvv7/psMdfWzPvrGPH9rnJgcWhgoP2HtKvYn1l3WvJVN63m4sAN/kdhDH2i9N0lq/Qe2a95h1V1cXrIwsTKZ2wO9cJFfdnyL4HNXpFIxXUV25n3CentetaHzx2N7XbNzbaFq+LsOzJ+znos1dRfvoFjD7yVA79/Dd5/9E/AVCzbQND9h3PqCNPpWarexK8+oVHGHvSOR16PzW18SEdOrGbiUgI2Ox3HPnkpvtfPXlbZd1Cv+PwQ0FASsaUFB89oDA4D8jnSUu3Thk/fGPrhxnTtSxZNZ1ixuSyD4Gf+B1Hb7V0c+0L9YnUCV1x7SWP3EX56RdQNGhom8+p+GgZS5+4l8PO/1aj7duXv00qHmXv487ctW3UER+jesNK6nZuBVVEAogEUE2RSsSpr9xG/+F7tjvuVEprUikd3+4TfRIIyFa/Y8gzcv5tT+2dTOkWvwPxg4jIiAGFp+wxsHAJkI8J4XvAr/wOwhiwZNV0rp8BH/gdRG+zZnvdvKr6RJc8Lt26dBGVa5dRfvqFbT4nlUywcNYt7HPipyk9qHHnrLqKLYT7D6Z4SOmubeEBgwkVDyCyZS1Fg4cT2bKW6o2rKC4ZzrrXn2b0UR2rHqmuib0PhDt0sg8KggURv2PIN9ur60d85+6X1qtqyu9Y/NIvHDxs7yH9wgUi+TbK/NUp44f3ib64Jv9Zsmo6zYzJZTHgKr/j6E02V0UXbK6OddnqVCue/QejjzqNosHD2nzOsif+QqymmsPOu6bJvmQsSqhf04nvwaJ+xKp3Mmz/w0nU1/LyHdey7ynnsm3Zm4wYN7FDsVdWR3tUo/1gqKCnzQLvFs+9vf6IZ99e96LfcfipICDDxgwpPqJ/uGAerrbZb/dNGT/8Bb+DMCbNJliZTjVjctm8mXNX3AtM8zmUHq+yLv7umh31E+iiD5V1FVvZ8ObznDyj7R0Aqtav5P3H7ubEb99BsKgf0UhFo/2BYBgJFOQ4U0jGoxSECjnt5r8Rra6gdscmUokEb/1tJmsXPMmEi2cw5rhPtD3++nj7awd8FAqHAnU10Q6fr7EI0TdmkdyyFICC0nGEj7iUQHFJm85PbHqX2NsPotWbIFRM6IAzCI8/e9f++KoXib1xT6NzpHgI/c76FaopogvuIrVtGYXHXUXBCDcZL77iOUJlp3b4PaXNuPuVE5/7aelbJQMKJ+z2xXooEQmUDiw6pSaaeHNLJLoXMMKnUHYA1/l0b2NyspFV0xWuw1a22i21seSqpZtr9wK6rOH9uteepmjwcIaVH96m4zWVZOGsW9j35HN2tZzKVjhoCHU7m5YgxmoqKQi7txIIhigeMoK1C/7L8AOOYO2r/+OwC69lyb//0ObYE4nUNlX2b/MJeSBcGOq3O+dHF96HRqspOv6rFB49nVT1ZqIv/aZN56Yq1xJ96Q4C/YYRPmoawdFHEF/8MIk1DQtKpXaupmDUBIpO+0HD60RXk5zavoJUxVqC+08h/v7jAGh9FVpXuTtvqeHeqgXn3/a/kamUbu+UC/Zg/QuDR4wZUqwB4S2fQrh2yvjhVl9t8oolq6bTzZhcth34jt9x9FSxRGrr4g2RENClM93Xvf4Uoyeeioi06fjaHZvZsXIxK559kIcuO5KHLjuSJ2e4kbknZ5zNG3ffTMmYA0jG6tm55v1d51VtWEUyVk9xScNAUd3OLRQOLKG+ajsDR+7DmGPOoGZb2/vEV0Wiy4G2BZ4nQuFgh/97aipBcv1CwodfQMEeBxEcfSSFEy4ktXM1qdrW87vY+49TMPJgCk+8htDYEyk86jICQ8tIrHtj1zGpijUEhh9AwdB9d70CJa41rNZuIzB0LMHRR5KqcZ9D46teILhv51WobK6oG3nT/a+uUmv+TTAQKN17SL9D+4UK5gHd+fN4bsr44fd24/2MaRNLVk2XmDG57F7geZ/D6HGSKY28s756G13cMLxu51Z2rHiXPSec3OZziktGcNr//b3R64Rr3MjeCdf8hoPOuYr+I0ZTss+BLH383l3nffjMA4T6D6JkbMPE/VXz/sXYkz7b4firItF8bveTUygcHNnhk2M1oCnIyOM05X4EUtD6HLPwIedSeOS0Rh9MpHCAuya4zgwVaykYMjb3BVQBAREghaYSaH0Fgf7DO/qOcnri9TVHvfz+JquVBESkYI9BRaeMGFC4EPdovqvVA7lXDMlTItJjJlia3WPJqulKV9Hzlhb0jaom3llf/UFK6fJ2TFvefw0pKGBo2aGNtkcjFexctaRJo39wj+9L9h7X6DVo1H4ADBq1H/2GuRLSQ8+7hg1vzuWFmV9m/q+/yarnH2L82VcQKHAl8sl4lFhtFcVDRtBv2EiqN63mowX/3bUCVlvUR5NjO/jWfRMIBPrTwaRDigYjg0YTe+9faH0lqdrtxJf8h4KRhyKFA1u/94BSpGjwru81UU9y2zICw8rd91UbIRkj9u5D1Dx8FTWPfpPoovvReJ13/xI0soVU1UakqITk2tcJ7nV0R95Kq75514uTqmtj73bJxXugAYXBo/YqKY4GhK7+mfzflPHDP+zie7RKRApEpMkvAxE5V0Sy++vdKyJPi0iuQvm23EtE5HDv67+IyL3e1y2WX4nIoGZiLBaRFldXEZF9ReQPIlKYvpeIHCQiZSIyNuu1r4iME5GcJU8icrqIDMraNkpEesrqaG1myarpMjMmly0Ffux3HD3Fexsjr8STelR33Gvr+68zeK/9CRYWN9q+8a0XeO5HlxKvr+3wtUvHH80p1/+ZQDBMLFLBxGnfZ/8zLt61f/PiBex9rJtI1W/oSMYc+wneefDXHPSZtg3qRGPJtUCPXLpURDq8MEDRCV8jte1Dav9zDXWPX4fGayg8tmMDYfGlT4Iqof1cR7TkjpWAUFA6jqJJ3yB80Dkk1rxMdJFb7SwwfH80UU/0pd8S2u8UktuWUjBiXEffSouSKQ1eOPOpISnVii65QQ8UKgjsufeQfuOLXVlAV3gZ+EUXXRsAERkpInuLSLmIHCYiJ4rIp0XkMhG50Uvg5gLbgZczE0YvsfsJ8J6ITPa2DQbOAh5Q1aafrpuPY0/vvr8GVgKLRORo3ITzsIiMB1aIyLEtXOZEYJ2IjM3aPhF4X0TObHrKLiHgM8CDIhIADsT1tP0AWAosA1ZlfL8E+FeO9xEGHgZuydp1FbBcRDr3sYfPxMqDTFeaOXdFEHgROM7vWPLZh1tq5+2ojfe5pSc7Yuv22he3V9R1WTuvrrRu5aYFiUSy3f8vaCpB/dzbQAKEyj6GxuuJf/A40n84RSdfhxSE2nytVOU66p65hdDB5xA+8FPu+tFqtL6KwODRu46Lr3qB2ML76Pfp25HwAPfoP1qN1u4gVbWBVMUaEh8toPCISwju3fn/e39u0n6vfv/Co1tKGPqk6vr4q9tqYgcCg1s9uG1qgMOnjB++opOul5OI/BL4dsamWu/eI3DJ8lLc4gibcKu9zVXVrRnnDwLuA2Kqep6IfJe2LURzlKouFJGTgUdxP7dtwHDgUuAVVV0hIn/B1QdfBtwJXAScoaoLcryX64CLVfWIrO0/BL4AlLWUQHujuS8BVwP3gFul0Nt3FvAfVZWM4wuyr+cd9wiwn6p+5G0bgEt0S4ArVbVxe48ezEZWTZeaMbksAVyCW2Pa5LC+on6+JaptV1UT7bEt94Khgg71rkpueItUzVaKTr6W4D4nECo/laJTvkNq23KSGxa1+TqajBF99Y8EhuxLaFzD4I8UDmyUqAIUDNsfNEmq0k18k0CQQPEQEh8toGDEASQ+epXwhIuIvfdIR95Sqx56aeWxC5dvsfrVLAOLQsfuVVJcJfB+60e3yXVdnah6bsI9ERkCBFW1P3CMt+96Vb1MVb+nqneo6uzMRBVAVauAzwKXisho4Ebgi7iRyQJVlcwXkG4eXeH9+RIukRzpXQdV/auqpt97ytuWAr4KzAMmZ8YgIsNEpBw4CnjdGyUuF5H+4grCL8WN1n5JRK7KeDV6hKWqb+MGcO4BBgA/FJGcEzBF5EfAtTl2fR34dzpR9Xwb9yHgU8Av0iUOvYElq6bLzZhctgL3CdJk2RaJvbG+Imqjzm2kqhqPpw7wO46OCoXbPgKaKRXZTKD/CCRYuGtbYOBICBaSirS9y1Bs0f2k6nZQeNyVuCeQ3vUr15Oq3tToWI15ny9TDYsYpep2IoUD3CjswD0JjjkGrem6LnVX/b95x9XUxzsrKes1QgWBMfsM7bdfYTCwu8n8k1PGD7+rU4JqXQL3iL+6lVHHgFf7GcrYVi4iR3mjjwlgDrAIeAp4i6yk0pOuY03/BQ4B/wWaW953V0xewnouMDMr0bwWWA6cD3zJ+3o5cDJwGjAWGARc4b2+BvweKPbex67/gVV1sfd+6nFJbuaoc/p99wOuAfbI2j4BOAN4PGPbkcB3ga+o6lO4so6nRKTR6G9PZcmq6RYzJpfdg6uvMZ7q+sT7K7fVHYgtztFmddHEMhpGTJpQVVbeew1rHvx+u64bq9jEmgdu5P2ff4aV93yD+i2rmhxT9cF81j06k3WP/JSKd5/ZtT0Zq2PVX7/Dst99kfqta3Zt37HwP02uES4MFTbZ2AYSHkCqegOaqG+479ZlkKhHitvWESv2/mMkVr9E4TFfJtBvWNa+R4ktbvy/Z2L1SyAFBEr2adi2ch7BfdMdJLq+hCyeTIUv/vnT/bxRNZNBRApHDS4+eWi/8MtAdQcusQP3yLu7fBE36pcQERURxT2yBngxY1vSO+7ijHNvwI1kPoLrlHI5LvabcL2oHxKRChGpFJGYlxSmk9V055A5uAm/KVxpGul7eve9HPhixvcx79zXM+KIAvOyRnCT3vYZwOOqelT6BUz1zktPNF6Tcc8FAKoaB34FfFNEsmdLfgGXZP88a/svcK37Ut77OASXuP5aVZ/wrvsT4CFc/e83RKRH/ztjyarpTl8G2t5MsxerjyfXvb+pZhjuEZBpo8qq6KaW9u9c9Dj1m5YzckrbV/1NJWKseeBG4pEd7PXZ79F/7ATWPPBdkvUNq7lufflB1j/2CwqKBhAo7M/6x37J5ufvBaB62SugKQbufxw7Xn8EgPrNKxu1mUoLFQY7VGdYMPIQSCWpe/ZWYu/MJvrGvdTPvx0pKiE4eiIajZDcsQrV3Ct1JrcuI774YQrGHIMUDiS5YxXJHatIVa51cZWdRnL9QqKL7ie+6kWir/2JxKp5hA44w7W4AjQZR2M1BIqHIP2GkqreROKjBUgnt6/Ktnpz9T6/ePitxV16kx5scHHohNGDi7eJm5jTHl+ZMn74xi4JKrd/AmW4UoA9vVe6DOAzGdtGe8dlfnr6Eq6cbBIwRlWX4Gpdr/KuMQe4HVerOURVozRNVr8IlAJDgXQNzJCM10xgbsb3Y4BRuBHTtOZGhM/Eje5en7U9PTqcLv85HTgY+B2NO+U8gBthnZB1/kXAvaq66/eeiEzDjeRu9r4/F5iPS1a/l3myqn4Vl+j+Bniimdh7BEtWTbfxFguYRvc2uc478WRq57vrIzHcL07TDpHaWLPJfSKyk83P38OwYz9H4dDRzR3WRMU7TxOv2MQ+5/+IgeXHsMeplxMeMoqdb7onbPHq7Wx94T7GTL2ZPc/4KqPO/CYjTryYnYsec/srN9Nvr0MYWH40sUr3b0rFu09TctiUJvcKhYJ7NNnYBoF+wyj62PVIeADxD58lseZlAiV7UTjpm0iomMTGt6h/9ocQr895fmLd64CSXPsq9c/+sOE13/XJLRhxAIXHXkVy8xJii+4juXMN4SMuIXTo53ddI7l58a6JVIF+wwjufSyxt/5B+OBzOvKW2uVvc5edsHjN9he7/EY9VDgY2Hfvof3GhAsC89t4yj+mjB8+u0uDyqKqlaq6UlXXqeomLwFL17DsSG9T1Q3ecVUZ56qq/g03cWm+t20BcLCqvp51XPpTZqNkVVW3q+pWVd2JN4dCVSvSL2AtMCzj+wtwCWB2a5QCERmQfnnbnsIloseLyMyMY8NA0hs9TT/6X4Kb4BUDEJH+uJHxvVU1++/4qcAMESn0SiNG4yZ/3QGs8445CldqMAt4K1224HU92ISbhHUqTRPpHqVHDwubnmfG5LKnZ85d8Vv6aA1rKqX176yvXqtwmN+x9DSqGksmtdketBuf/j2BUBEjJl3YruvWrH6LfvscSmhQwwpbA8edQGTlQoYffx5oilGfvJoBYxtKv0KDRqBJrxROU65ZvgRAUyRqK5FgmEC4OPtWFAQLhuJmQPdvV5BAwdD9KJ58Q859obEnEhp7YrPnFh5xMYVHXNzsfoDgmKMJjmm+d2pwVOPSt8IjLqHwiEtavGZnuvz2uUfN+9k5y4vCwR61zG53CYgUjy4pPrGiNjZ/Z118ItDc8r7rcBOIuo3XRqmehlHOtHRZTDhHb9MQbiLWzoxt6RnzM4FvADHvkX0xoCJyDe7xeDFuBBNyj4YWeNe5AVf7+TvcxKj9vIlSRcC3gH+qanaJxYk0LbuIq+o8ERkBXC0id6jqWlyy2tqkygdxE6IaL9rh3lemX6rqdSJyOfBv4AUAVb3RO/5UXGeAunRMuFrXlKo+30oMec9GVo0fbgD63GM9VU29uyHyVjJliWpHRGrj79PMP8CRVW9SteR5QoNL2fDf37D5ubuJV7dtmflE9TaKSvdrtC1csiexHesBl5iWHHbGrn3JaA07Fz7GwHGTAAgOGEpsx3pi29cRHDCMnW/9lyETPtHs/URosZTB5BaNJ4u/8MtnAxkjZyaHkn7hE0cNLtogkGuGfwK4cMr44Ttz7OtKW3EJXl3W6wNv/7M59lWRUS/qJZH/9UYXv497VF+iqiXA/cBt3tcluEf96WQv4Z3/BRG5V0TeAtJF5x8DngbeAN7GlWUdiOtdWofrOJDtZVwJQvqVmQw/jCt1S0+WKsIl6S35Mm5i1ihcGcSl3vZ0WcQoYG/gNgBVfUBVczXCLoRGv1sSWX/2aJasmm43Y3JZPa4Wp0NtfHqqDzbXvBhNpGzmfwdVVkcrmtu3+bk/AZCsrSRRU8H21x9hxZ+vIuolnC1JJaIEChsPdAbCxSRrK5scu+G/v2X5ndMgUMCeH/8aAAPLj6N27WI2PfMHSg45lUTVNsIlezZ7v0Ag0N2JQq+xbH1F2Z2PL37L7zjyXWGwoHzvof1GhgrkpaxdP5gyfnhbSwU60xhc2dOQrFe6tdKZOfbtgRvFTDscV7M6yqtJHYN7vJ3tClzili4DSCeThwNHAP/DS0JV9ROq+lNVXaOq63HJ8524GfhfbCYpjKvqtvQrc4fXRWAWcJ64VbX60bSMYBcR2RO40bv/Rq80osK7VrosYqOqrs2+Vw4Dab7TQY9nyarxxYzJZe/iRlj7hFXb6+ZV1yetl+puqK2LZy+1CEDdxmXUb/qQgQecQPlV9zD2otsov/JPoMrWF+5r9bpSEEYC2as1Cql4089S/cYcQvGoA6nftJzq5a8CEBwwhP2/cg8HfONvJOuqGTjuBD6a80OW3n4+NavfanKNglBBXZONps3+9OSSScvWV/iRcPUoAZH+e5X0mzS4OPQibnTvf3ijc93Nq1Pdmlkj6tWFputSI9n7VHVL5sQi4JPAsowa1UnAV3Lc7nu4EcnsCVY3qOrhqno98Eozob6GG239jqpmJ/pt9UfgSK891wAa3mO2wbhJTyd5q1HtrjJ68QRmS1aNb2ZMLrsdN0O0V9tUGX15a3Xs5NaPNM1JJlNVqVTuetX04/rhx39+V81XuGQkA8qOon5z673Og/0HE69q3Ks0WVdFINx0efCSQ05ln/N/xJCJZ7Hxv7/dldAGwsUE+5dQs+ZtpCBEbPtahh33eba+/I8m1wiFg21eGtLk9sVfPnNELJ5s2l/MNDG0X/ikkYOKXgcunTJ+eE+e3HoubtZ/pn4iMg43ElsmImfTUCrUaGQ1PckpFxHZw2uLdTFu8tOh3vYDROSfIpLZ661IRMamX9nXypg8hhdXrmR1T9zEKIBTVTWW45j2OhvXc7ZXsmTV+G06vbh+dWdt/O2PdtYfiSv6Nx1UXRP7gGYmhErIJZWhrEfvEixEAq3PIS0qLaN23XuNttVtWk5wgPv3KZWINUlmBx1wPKlYLfHqhidztes/oHjUOOJVWygaWcbAA44nXrm5yf3C4VDHVgYwu9TFkv0vu/25uKq2Vg9oIF4cKrh+yvjhbV89oht4Najp+v0WP8B5je2PBDKbF0dxSeUcXMnAUOBCvAb8uKQ15TXeT1+nSET2w43S1ojIIBG5E9fv9UDgBG/fRSLyB+A84NM01L8GgGO949OvAprPpcYDjeqJvGVjLwKWAKepanZxfVv/rdj1OEhELsC18PprG8/tcSxZNb6aMbmsBjgH6HV1fDXR5IrlW2r3oWHGq+mgyupos4/Oi/c8ABCim1fu2qapJLVr36V49IGtXnvQ+JOIbllF9YevAZCsr6HynacZsO9EAKqWzGPlPV8nGW0oPYvuWI8UhAgOaKhMqHzvOQYf4rVkzNFjNS1cGMpu/G06YPGaHQfc+8wHr7d+ZJ93bXlpcXOPvX0hInvgajP/jRt5bO0RyDRc7ecb6Q3eRKMxqnqoqp6oqp9S1Ytw/U6/hnscvzLrOgNxE6m+C/zJa48luB6rE1T1Na/M4Gzckqw/Av6qqju888PkXhRg12N8ETlVRH4lIv/EdV14LjMA755XAZ/IuG6msHed1vKzQlwbrbOAu4GfqeqajP3pD8W9outTr3gTpmebMblsxcy5Ky4GHqOXfICKJVKb39sYKcLNTDW7qT6a2Ku5faGBwxh86GlseOLX7HHqFRT0G8yOhY8Rr9zC0KM/S6K2injFJopGluWoTYWi0n0pOfwTrH34RwwaN4m69R+QikcZdpzrMTpw3CS2vHAfHz14E8MnXUiyrpot8+5lyBGfpMBrTxWv3u4WDAiGCQ3eg7pNH1K99CVCg5u2VQ2FgyOabDQd8pt/v3PSqYfv9co+pQOP9zuWPPX38tLiO/wOIpuqbhaR63Ejlo+raosTg1T1ahF5QlXbMrP9bVyyuQaXtGZeZ6uITAWWqupqb1uTuldVfVZEynAjrZlL2r4KTbp5fJOGrgbg+rVeBryD6wpwZ47r/62F+NOJbxEtTM7C5W9FuG4BjwE3Z+1PD5I0rWfqgURbGAEwpjvNnLvie8Ctfsexu5IprX5zbdWGlDLO71h6g3giuXnFmooWm+lrMsGWF/9K5XvPkYjsIDx0NCNP+xID9juKnW8/xYbHfsGB1z5MQVHuNQVUU2x/7WEq33ue0IChlE6+jKIRY3ftj25fx6an76J27WIKigZQMuETjJh04a7kd8fC/zBw/+Nc/9VUkrUP/5i6de+x1znfpf/YCVn30tSa5RuSNIx8mN0woChUNfe2cypCwcDefseSZ94Dji0vLe5zrb5EJKDNLedmeiRLVk3emDl3heDqj871O5aOSqnG31pb/U4ipUf6HUtvsX1n3Utbd9RO8juOzrR62fq1uNY7phNMLB+x5O6rJ5d30qzq3qAaOLq8tHip34EY0xl6xSNX0zvMmFymuPWbl/gdS0e9tyHyqiWqnasq0vva8QYCgbatWGDaZNGHWw968IUPF/gdR55QYJolqqY3sWTV5JUZk8siuML2ph3Z89yyLTXz6uKp5te8NB0SjSX3a/2onqUgGIj4HUNvc9s/F528YXvNq37HkQeuLy8tftjvIIzpTJasmrwzY3LZMuASGtqF5L21O+tfrKhNWNP/TlYfTazC9STsVULhYK9YAjHfXPCzp8YlkqnWly3rvX5XXlr8c7+DMKazWbJq8tKMyWWPAT/wO4622BqJvb6xMnqC33H0RpXV0bV+x9AVQuFQ07YEZrdV1cZKvvH7F3a0cdZ4b/Mobma6Mb2OJasmb82YXHYr8Ge/42hJVX1iyaptdQeR0aDZdJ5ITaxX9qgNF4b6+x1Db/XKB5sPffTV1R1dKrOneg24sLy02GbAm17JklWT766i8aoleaMunvzog001IwBLPLqAqibjiVTrXf17oFA4OKz1o0xH3fzX107eWln3RutH9gorgbPLS4tb6slpTI9myarJazMmlyWBC4C8mukbT6a2L14fSQHW4L2L1NYnlgKD/Y6jK4RCwZH0oJrsHkjOv+1/Y5Mpbbrebe+yHTizvLS4xab6xvR0lqyavDdjclktcBaQF61YUimte2dd9UaFsX7H0ptVVtXn1VrmnUkCUghYgtGFdlRHh1/7p/kbe3Fz+HrgM+Wlxcv8DsSYrmbJqukRZkwu2w58HNjoZxyqmnpnffU7SeUQP+PoC2pq44P8jqErSUB6bTKeL55/d8OEp99c96LfcXQBBS4tLy3ua7W5po+yZNX0GDMml60BzgSq/Irh/U0182NJPdav+/cVqZTWJVN6kN9xdKWCgoJqv2PoC66f9fJJOyP1b/odRyf7Tnlp8Ry/gzCmu1iyanqUGZPL3gbOAWLdfe+V22rnRaLJk7v7vn1RpDb2PtArOwGkBUMFvW9prjykSuD8nz41KpXSbX7H0knuKC8t/qXfQRjTnSxZNT3OjMllc4Ev0I0TVDZWRl/aFolbotpNKqujvo2ed5dwOGS/f7vJlsq6PW78y4LVqtrTJ7X9G7jG7yCM6W72y9L0SDMmlz0IfKs77rWzJv7m2p31RwPSHfczUFsX38PvGLpaqDBY5HcMfcmTCz86av57G1/wO47dMA/rpWr6KEtWTY81Y3LZb4Dvd+U9ItHE8uVba/cDwl15H9MgmUxVqDLO7zi6WrgwNMTvGPqaa/44f1JVbexdv+PogBeBT5WXFtf5HYgxfrBk1fRo3ipXN3XFtaOJ1MYlG2sG0Et7fearqkjsA/rA76ZQKNjrR4/zTTKlwQt/9tTQlOpOv2Nph5eBT5aXFtf4HYgxfun1/yCY3m/G5LIfAzd25jUTKa18Z311BNizM69rWldZHY37HUN3CBQEBgGVfsfR16zfXjP6h39/fbnfcbTRAuAT5aXFEb8DMcZPlqyaXmHG5LKfAjd0xrVSqrF31lWvVGX/zrieaZ/6aGKM3zF0FxHZ5HcMfdEjr6w65vVlm/O9fvU14OPlpcXW4sz0eZasml5jxuSynwEzducaqqqLN0ReT6T0iE4Ky7RDLJ5cTx9aGSxQELCRVZ989XcvHFdTH1/idxzNeAOXqPb6rhjGtIUlq6ZXmTG57OfAdzp6/rIttS/Ux1OTOjEk0w6V1dFVfsfQnYKhApsw45N4MhW+aObTA1Q13xLCV4DTy0uLK/wOxJh8Ycmq6XVmTC77BXBte8/7aEfdC5V1iVO6ICTTRtWRWJ9qDxYKB/0OoU9bs6V675lz3nzP7zgyzAPOKC8tthF3YzJYsmp6pRmTy35FO/qwbqmOvbqpKnZiF4Zk2iAWTx7gdwzdKRwOWUs0nz0wb/nx76za/qLfcQBPA2faZCpjmrJk1fRaMyaX3Q5c3dpxlXWJxau31x2G/f/gq7r6xHJghN9xdKdwYcjaouWBK37z3NF1scQyH0N4DDjb+qgak5v942x6tRmTy34LTAcSufbXxZKrl26u2RMo7tbATBOV1fUb/I6hu4XCwT6VnOerWCJVdOnPnwmpqh+9TB8Czi0vLY76cG9jegRLVk2vN2Ny2b3AOUBt5vZYMrV18YZIABjmQ1gmS6Qm3s/vGLpbQbBgBGCjaXngw42V+97xn3ff6ubb3gWcX15a3Cd6CxvTUZasmj5hxuSyx4FTge0AyZTWvrOueqvC3v5GZgBUNZFIpsb7HYcvBOu1mifueer9SUvXVbzUDbdKAdeVlxZ/pby0ONkN9zOmR7Nk1fQZMyaXvQpMUtUV766vXpxSDvI7JuPU1MWXAAP8jsMPBYHADr9jMA2m/eqZCdF4ckUX3qIW+Fx5afEvu/AeXUZEetWkwN72fjpKREZmfX+QiBT6FU82S1ZNnzJjctnS9zfVTIol1XoG5ZHKqmhPWqu9UxUEC2pbP8p0l7pYsv/0Xz+bUtWuKM/YBJxSXlr8SBdcu8NEpEBERuXYfq6IDM3afK+IPC0iBe28xygRObyZfWNEZEgr5w8UkTdE5LSs7deIyBvtiSXj3DnAn9px/LkiMrqZfeNF5Dbv6yltvN4wEXlcRA5tawy7S0ROEZGjs7Z9GXhTRDJLsf4L3NHMNY4QkVszvh8kIiHv66CI3CYi5RnfDxKR3WpLaMmq6XPuvejwzcDJwON+x2Kcmrp4i/9Q9WahcNAeA+eZJR/t3P+ep97vUALUgsXAseWlxZ193WaJyEgR2VtEykXkMBE5UUQ+LSKXiciNIvIHEZmLK496WUSKMs4tBH4CvCcik71tg4GzgAdUtb1/b78CzG1m3yvA9a2cfzpwJE0ny9bS8VzmPeBzIrLrqY6IBESkMJ18ZWwvBf4KXNHMtfYALvGS+ztF5BtZ5w/xrhtMv4BK7/38KnO79+rnnRPKvpGIPCci2sprj2bi/BYwW0RKMrb9DQgCX/WufwQwCvhhM9fYC/hmxvcfATERSQD1uP+WH3jfx733uVudTyxZNX3SnOkTa4DPAHf6HUtfl0ppTSqlfbNeFQiFQ03+MTL+u+M/7560anPVy510uaeASeWlxR910vXa6jvAGmA58DbwP+DPwN3Ap4AQ8DLwfdxS1QPTJ6pqFDgGeBWXaIJLZgYCd7eSKB2Zvo6XMA/B5Ru1IlKS/cIlbOKNNO7VzHu5GFigqvNEZHhGshXD1QA3S0SKcsUJ/ADoD1RnbEviEq4rsy7zE6Aa+IOIlHqjhcNFZIT3/oq8OFLABcBz6VFpLzHd4V03nvX6NC4Rz95e452Ta6GaCuD/AfvmeJ3kHVPfzI/jMu89/9iLbZB3vxnA+94x5wP/BjZ4P7vsya+1QJ2XTJcCBwOjca0Hh3vHnOV9vScwBpewdpio6u6cb0yPN3XWomuBnwN9avWkfFFZHX1j45bIUX7H4ZfaSN3bWzbsyPl41Pirf2Gw+vmfnbMjFCzYZzcu80fga+WlxTnb53UlESnGdTuJANWqmhSRscAq4CRVnd+GawgQxiUeHwBfwyWwy1U1lXXsUNwobbmqrvC2RXHJTaH3ylXyU4JLOmNAQFUHZV13FC7pnqaqfxOR/3n3/7qITAO+rqpHeccOBIpUdWvWNVLAJcATGZtDuERrJZBedjeIa2VYmV6KV0Q+jUveqnD/TgSB24BjgY/hEtwA0A+X0KaP+ZeqXuxdYw9cApkEbgLGA1+kYaR4f9wHiW/iPliEvddO74ND5nt50Hv/N2X/IDP++w5U1ZwLTIjIJOA9Va0QkQgueW3Jg6p6gXfuGuAPXpzPANsAxX2QieKS9cG4v3Mp3H/z+1T1y63co0U2smr6vDnTJ/4SOBf3S8Z0s8rqqB+9LfNGKByy1ml5qiaaGPil3z5fq6qxDpyuwIzy0uIr/UhUPQlc8ljd0mN779F3ceYjZ6904Ch1I1oJYA6wCDdK/BYwOcel0nWsu1pxqWqhqg7BjUyuVdXh2S/gQ2CmqpZkJ6qer+CSv3SnhnRimxYUkbNE5B/AZuCEHNeIAhFVrUi/cDnQXOCQjO3bVHVtRqK6J/AX4HZcwl7i/fljYBpwGnAG8G3v3h/3vj8V+ELGz2GzqlZ6CeQvcKOg56hqxNt2Ee7vzAJv2w5V3ZSdqKbfb45t2ZrN71T1Je/9g0uSRwBDvVcVblR5qPc+R+I+oCAiI3AddNITEF8EzsSNzPdX1UGqWuLtO1NVB+MS/6/lGJ1tF0tWjQHmTJ/4CHA0sMTnUPqcuvr4nn7H4KdgqGAkbrTF5KG3Vm4b/8C85QvaeVod8Pny0uKfd0VM7fBF3KhmIuMx9ypv34tZj75rcY/a024AXheRR3A1ipfjHiHfhHvk/ZCIVIhIpYjEvBrXdLLaXHK+t3dOoxcuYcrJe9z/9azNKW/fCbjH6IfjEsoKL7ZcHy5SuGQwU3oSXYmIjM14lYk3O15VNwITcI/XY7ifVQ1wPPBJ4F+4pPWTuI4m03DJ3Su4UcXM97LOe78f4pLV2zN+Bt/CjfJuz/jZNPdBdjDwvWZKG9L/fbPvfYmIrBeR1d4rnH5/XoK+U1V3ej+jWu/77V6Svd27zCHABlxSDvAgcBVuoCcuIkmvTjUJPO99nfB+bvc0817axGZEG+OZM33i0qmzFh2L+5/q837H0xckEqmtqs3/Q9UXePVs63E1XyYPzZzz5smnHDr61dHD+h/bhsM3A58uLy1+ravjaoN/As/hkoV0AjkGeA1Xs5+OMYBL8rZlnPsl3Kjj7cAYVZ0vIsfhkpNjcKNv64BbgH6qGpWGDgHNJasfqerY7I0i8kEL7+FG3GhfCRAWN9lrf1xN5MW4Ub73gIm4Ed0rm7m/0rS2Nf3933Ic/0vgOgBVXSMiJ+FmyN+N+7nGcZOQVqjqVSJyIjDB+3ovXMlBdt1oEXCFqs7x3neRqtZ7Xw9W1Urv6wnAmznOT7vEu1ZLslvivYJbfnx/4CfppwVezSq4BHXXzy2j/GMAUOPFeYIXF97PpUJEXsCNwjY3oQtcCUeLdcWtsZFVYzLMmT4xMmf6xPNwv6RstKuLVUWiy7FaYQIB2db6UcZPF/7sqXGJZGpdK4e9ChyTJ4kq3mPnlaq6znukvAlI13KmHzNvUtUN3nFVGeeqqv4NKEvXtqrqAuBgVX0967h0KU9ryWq7iGt/9C3cY2aAmbiRzGG4mfmjcTXB9V7ylS5jyHX/Qpr/nT5ZVSX9wg3k3Zh5QEYrM1XVeq+sosUELLumNzMur554oYicJyL9ca2jrss6PplxfMCbrJbuh1rvvSKqupqGCVzp1wjv+IFeLCu8JPmVrJ/Dt3GTn+LeyOxg4H7vvdXjPsCc6B37DK6EIfM9JoEDcJOz5mS9Hva2791MOUObWbJqTA5eHevpwBa/Y+nNKquj9oEAKAgW5JwIYfJHVW2s5Gt3vlCROfqU5bfAST7M+M/Jm6k+wJvNvetFw+PhcPY+cb1Ms9vIqXe9mSJSB7zmPba+FLghsxQg49rN/X+9TzOPrsflOlhVP8TNrH/Y2/QTXIL6CrA1x3+LdIP/Rtu9EoUgrm61VaqazKxTFjfjf5h3jf4isoc0dCM4VESex/UkHel9/c823OYu3GjxK16yfxtwm4j8opnjRwIbc7z+5+2/rZn9t7QSx69wo6LDaFqzOgI3epz+sPKqqj6f4xpRb/8hmS8aaod3K1EFS1aNadac6ROfx/X1e9XnUHqtaCy5r98x5INgKGhrw/cAry7dfMgjr6zKXo61ClefenV5aXE+/XfciqslrMt6pR+5P5tjXxWwa9TUexT8X3GN8L8PDAFKvEk09wO3eV+X4JKbdE1owjs/7F0jbU3mCGbGSGa6c0BAvB6j6RNU9aGM87dkjOI2IiJfBGZlvce0Uu/PnSLys4wkOT2pdm5WAn171vlzgLXAcbiyiDW4tlfguhs8CSzw7v0kzfeTTcf6E1wJw3mqutZ7n3/ElZ99E5iU47R08nww7r/DEO/Yyoz9D2TsG4JL8ltMFFW1SlW3eBO6smtWt3k1rc2VI6QlvfeV/SEk3flht0faLVk1pgVzpk9ch1tA4C6/Y+ltorHkGtzEjT4vXBhs12pAxj+3/P31k7dU1KYb+78NHFVeWjzHz5iaMQaXpA3JeqXbpJ2ZY98eNDzyxTt2EjDKe4w7BjfLPdsVuFHV9N/j9MjqeqDKG4m9DjeRKdcEq+HANbhH2TuBpe14n+K91uL+exymWW2rvLjBTQ6K42p192/m9RZZtaKqeoqq9sONMH5JVYtU9dve7nWqehuu7rXS+7ql/t1B3M/qd8D8rOTuO7hJTNkfiKDhZ1qV0c2gjoZEMAnEsrodxGmlnM0rFRgurmdqCe5n2U9cD9yh3r5R0vKKZQqQ40NIpy32YsmqMa2YM31ibM70iV8BptN8wbtpp8rq+rx4XJoPwuHQbrV1Md1Kzr/tqX1r6uP/DziuvLR4ud8B5eLVqW7NTF68BCZdlxrJ3ueNsG3KuMwngWUZNaqTaFggINP3cM3fG9WsquoIVR3ojb4OwXUSGK2uRVV6hHYC8O2MbQNVdUyTOzSvEChU1edU9VZV/VBEzhfXZintCGC7qm7BjUDWqeqHuV64kcjWEryB0rDa1yQv0XwRr8wBlzg3J6Gq1wJ/x01cSid2t+Bqb5c1c15zTfGllf3NvYfx3kSwN3Cj8OkPCoNwfVR34tqebcV96PC1a4slq8a00ZzpE+/FNYF+1+dQeoXqSMxWbvKECkPZ66+b/FW1MxL9xuF7D/pGeWlxb//wei7uEXimfiIyDpd8lonI2bhm+NB0ZBUAbwLRP3D1kWdkXW8q8CcReUJcT9N2UdW7vPrITLcBP8v4/jTcSl1t1dKkz3LcyOcncTnUS16yeRJemQMNI7kt6Yerf02Pqt5MyzP80zGViciBInIgro61KGP/4PQ+b//AXBfyjv0XcA5wIA2j4gHch5kveF+nR4EH4UalW9RCGcBus9ZVxrTDnOkT35k6a9HRwK24WZT2ga8DVFXjidQBfseRL4Kh4MjWjzJ5YAFwUWT2tFWtHpmHvPrRw7xvWxs9PAJXs5/Z4zQKHIpLYCu914W4xu/gErCUasPSmCIyETdzvx9woqo26pSgqr8QkQXeMW+LyBdU9cmscNJJcHoCVQVwvIgcTtOazHHAWLxJWSKyL67N1dUZ1zrFS6aa82L2Bm9W/X64keCvqerDInJJM+e3mlup6lyaT4pzJa3pn8HzWdsXZuw/x3tleifr+zLcv1tvAr/XrMUiRCSAW0Us3X83SdO+tcGs2AVcGUCOa3XKJFpLVo1ppznTJ0aB70ydtegxXCPq3VmKsU+qq08sxX2iN0AgIMW4x20jWjvW+CKFG6n7QWT2NL9Wo9ot4pb7XIYbJauiYRWi5kzDLRSQrs9FVR/ATeLJvvZRuEb4J+CWLk1vH4ur83wat1RqzpE2dT1cJ+Bm0d8mIs9p41XD0snbYO/P24F7ca2UshO+dAP6x73v9wIWZ8RdiBsZPStXLF6s4Rzb63B1qX/wWkVBQ6sscP1153hJ7fPk7gjQ4tMkcY36Z+N6xmb2xiUjpjGqus47/lIayjLCwF9UdVrG9f5I08lNB+KS8S9kJ6qeAlrPDQfSOKFucry41dCu8L7d7f9nJOMDkDGmnabOWjQI17LkC60daxps3BKZV1kdPcXvOPLJmuUblqjqQX7HYZrYAFwamT3tOb8D2V0ichWutvHxdMLTyvEfV9X/teG4EG7lpDXA9er1ZfX2HaKqi9sYXyFugYFOe3yc4x79gJB6Dfi76B67mv1nbY/gkvZmJ+SJyHO40etbVfU3XRBbABjc3M9YRJLAN1X1dy1c4wLgdlUd6X1/HK4FV/bI6ovAh6o6fbfjtmTVmN03ddaiz+GK0m2d9zZYvnrHwmRSj/Q7jnyybtWmBYl48ji/4zCNzAKujcye1mXJU28hIgFt2gTftJOIlALb7GfZmNXbGdMJ5kyf+BCu5cgTfseS71Kq0WRSx/sdR74JhoK73TjbdJpVwJTI7GmXWaLaNpZcdQ6vI4P9LLNYsmpMJ5kzfeKmOdMnfgr4Kq7Wy+RQUxt/n4bZw8YTCtsUgjyQAn4NHBKZPe0Zv4MxxjiWrBrTyeZMn/h73IzRHl/j1hUqq+or/I4hH4ULQy21rTFdbzFwfGT2tG9HZk+zD5vG5BFLVo3pAnOmT1w+Z/rE03BL6m1q7fi+pLY+YTPecwiFQyV+x9BHxXA9LidGZk97rbWDjTHdzyZYGdPFps5aNBjXl/Wr9PEPiMlkqnL56p0DaOgZaDzJZKpi7YqNJX7H0ce8AlwRmT1tid+BGGOaZ8mqMd1k6qxFRwK/B472Oxa/VFTVv7ppa82xfseRr1YvW19N86vOmM5TA9wI/L/I7Gk2mcWYPNenR3mM6U5zpk9cCByHG2Gt8Dcaf1RWR23GewtErGSkGzwGHByZPe23lqga0zPYyKoxPpg6a9EewC+A5pbr65WWrty+UpX9/I4jX61dufH1ZCLVZ0feu9hbwHWR2dOe9TsQY0z72MiqMT6YM33i5jnTJ14KTAbe9zue7hBPJDdZotqyYDBY53cMvdAGYDpwpCWqxvRMlqwa46M50yc+DxyGW1d7i7/RdK3K6mhra5H3eaFw0B5Ld54a3Cz//SOzp91rj/yN6bmsDMCYPDF11qKBwHeAbwP9fQ6n061aW/FSNJac5Hcc+axyZ+TlnVsrT/A7jh4uhVsm9fuR2dM2+h2MMWb3WbJqTJ6ZOmvRnsAtwGX0ohZPH6zYvgkY6Xcc+ayupn7x5vXbD/E7jh7sKVxd6rt+B2KM6TyWrBqTp6bOWjQO+BEwFRCfw9kt9dHEytXrKq1etRWJeHLzulWb9vA7jh7oPVyS+qTfgRhjOp8lq8bkuamzFk0Afgx80udQOmzztpoXdlbWn+x3HPlOVXXN8g0xoNDvWHqIVcBPgXsis6cl/Q7GGNM1LFk1poeYOmvRJFzSeorfsbTXh2t2vppIpGwxgDZYvWz9GmAfv+PIc+8BtwEPWJJqTO9nyaoxPYyXtM4AzqYHlAeoanLpyh0RYLDfsfQEH63YuCiVTE30O4489RrwE+DRyOxp9o+XMX2EJavG9FBTZy06ENc94BIg7HM4zaqpjb+3dmPVwX7H0VNsWLNlfiwaP9HvOPLMc8BPrE+qMX2TJavG9HBTZy0aBVwDXAkM8jeapjZsrp5XFYn1uNIFv2zZsOP52kjdx/yOIw8o8Cjw08jsaa/6HYwxxj+WrBrTS0ydtWgwcBVwNbCnz+HssnzVjreSKZ3gdxw9RcX2qvkV26v78shqEvgHLkl9z+9gjDH+s2TVmF5m6qxFYeBS4DrgQD9jSaW0btmqHQFsdnub1UTq3ty6YccRfsfhgyrgPuBXkdnTVvkdjDEmf1iyakwvNXXWIgHOBL4EnAUEuzuGqkh00YbNEZss1A7xWPyj9au37O13HN3obeBO4O+R2dMifgdjjMk/lqwa0wd4q2JNAy4Hyrrrvms3VM2rqYtbvWo7qGp8zfINBUDA71i6UBT4J3BnZPa0V/wOxhiT3yxZNaYP8UZbJ+NGWz9LFz+eX7py+/uqjO/Ke/RGq5et30ge1R13oveAu4H7I7OnbfM7GGNMz2DJqvGdiIRVNeZ3HH3N1FmLhuFqW68AOr21VCKZ2vHh6p0l9O4Rwi7x0Ycb3k2l9FC/4+gk1bgJU3fbrH5jTEdYsmq6hIgUAHuo6oas7ecCz6vqjoxtfwdGAJ9Q1VZXoxGRYuB+YJaqPu5tGwDEgLh28C+1iHwFGAXcrKqpDpxfBjwI/FJVH+hIDH6ZOmvR8bjR1qnAwM645o7KugVbttUe1xnX6mvWr978cjyWOMHvOHZDCngBuBf4Z2T2tFp/wzHG9GSWrJp2EZGRuAb0YaAfrq/nUGA4MBK3TOQBwBFABXCgqtZ75xbiJlMMBi5S1bkiMhhYC1yjqve0MQYBngCOA45R1eUisgBoaTnPT6vqf1q57j3A6ara4uQW7/4FOXaFgI+AZ3GN+rNpW5JxP02dtagQ+DguaT0bKOnotVavq3yhPpo4uZNC61M2r9/2fF1N9GN+x9FOCWAu8BDwSGT2tM0+x2OM6SUsWTXtIiK/BL6dsakWqMGNjL4MLAU2ApuAzcBcVd2acf4gXHuamKqeJyLfxS2f2JqjVHVhxnVGAsuAO1X1BhHZC7f0aBI3qpO2J7AIN2r7v1be253ABFVtcURLRE4EXmxDzNleU9WWEuq84rXAOg2XuH4GGNae8z9Ysf0joC/Nau80O7ZWvlC1M9ITEv0Y8DQuQf13ZPa0Ha0cb4wx7WbJqmkX7xH8MCACVKtqUkTGAquAk1R1fhuuIbiR2eHAB8DXgFeB5dmP30VkKLAdKFfVFVn7zgCeU9VEC/faCzdye6qqzm0lrruA/VT1jFaOOxJ4AxgHbGjp2Aw/xiXCPXJm/NRZi4K4iVlTgXOA0paOj8WT61Z+VLFXN4TWK0Wqat/YtmnnUX7H0Yw64ElcgvpYZPa0Sp/jMcb0ct3ed9H0eAlc8hhr6ZG2iKQbwSdUNe5tKwdKVPUNEUkAc3Cjnk/hkt2zcI/QM6Uft2de43ngC6r6VDvi3vWpTERG4EaEqrOS4xBupDj7fYRx5Q6VqhrN2F3rvcc9vPiyP/mlk/I13v4eO9FozvSJCdwI2tNTZy36KnASDaUCTUZPK6ujqwBLVjsoFA4O8TuGLBHgcVyC+kRk9rQan+MxxvQhlqya9voi8CcAN0DayIs5tk3HTbIAuAG4XET+jVsS9HJcv8WbgCLgIe98AYpxE33SyWp69DQFjE5fXET2JHf7pWpV3d7Me3gA93g713tARJp73HASkB45XuHFdA7wG+99hIEBuH/Yo7jktAjXmP85YHUz1+1R5kyfmMR9YHge+PrUWYsOBM7wXh8D+ldHorlqek0bhcLBkT6HEAdex/29nQu8HJk9rd7fkIwxfZWVAZh28SZEDcONTKYTyDHAa7i6xte8belEbZuqVnnnCnARcDvwWVWdLyLH4RLA44ErgXXALUA/Va0RkdHetj1UdUvGY/3Jqvq8iLyCm2iV7Q+qelX28V4co7z4kjQeDX0MN0p6dNa10hPK1qtqXTM/l0OAh71YP6Oq1Rn7DlTVD3Kd19t4da6Tlq3aMSmV0k8BR2Efijtk9bL1O3CTF7tDEveUI52czrfRU2NMvrB/REy7qGol0KhGTUSKvC93qOqmFs5V4G8i8p90AquqC0TkYFVdKiJXZhyX/ocye2Q1WxS4RVX/LyOe53HJdHNxNKkz9VpfHYQb0d1XVdu0qo5XlvAtXK/SGDA7K1E9FXhCRH6mqje35Zo92ZzpE2O4ZGcucOshNz09EDciPdn78whc4m9aISKbVbWrktUUrjNH+r/VC5HZ06q66F7GGLNbLFk1bSYiw4F6miaO6cfw4YzENS0EBFV1Z8Y29a43E/gGEPMevRcDKiLX0FAKkG5W31x9bHPb4y2/myYuxE0ceQj4Ae7RfU4isi9wMa5e82jgP7gRxDOBn4nIeuAu3HubCfwe+F074+kVFt86pRrXZuwJgENuejoMTMC1GUu/yv2KL58VFAQqE4lO63RWiUtO3wTmAfNs5r4xpqewZNW0x9ZW9mdPjkpbgZeQeKUA/xWR84Hv4xLDqKqqiPwZWKeq/+cd1x/XuxWaH1kNNbO9aTFqcwe6Dgffw9Xi3gUsEZFzVfXhZk6pA76Cmxj2JVwLrf/ztj0I/AK4DDgMeFRVv9XWWHq7xbdOieFKRV4D7gA45KanhwLH0JC8Hkkr3Qb6gmCoINbBZPUj4K3MV2T2tFWdFpgxxnQzS1ZNe4zBPXbPHrXcGzdqcyawIGtfmMaz4A8HJgGjVHW9iOzvnZ+d6F6BqwFNlwE09692GLhZRLIfsb/X8ltpZCZuFHemqu4QkVuAP4jIQlVdk32wqm4SkX1wCfEFwL9wLawm4kYNz8f1mr0OeFREBmaWBpjGFt86ZQeuFdKT6W2H3PT0MFxZxsHen+mv/Z541G1C4ZDW17W4CnEceJ+mienO5k8xxpiex5JV02aqui7XdhEp8b6MqGpFK5f5JLBMVV/3vp9E7pZV3wNeoaHBf3Mjq5+lmW4ArcQBgIhch+vz+qmMJWB/gUu8/ycip2e/bxHZzzvnYlxJw43A33BdDS7HPWaN4ZabXIUbdb22LfEYZ/GtU7bjFl5otPjCITc9PYSG5HUcbsW0vb3XHrRjRD3fhQqDhbiym1XAyow/06+lkdnTWsxmexsROQj4QFVTInIoMERVX/D2TQNezO7H3Mx1bgHqVPW2Nt73J8D7qnp/xrYg7nfP14D1uFZ8CqRa6v2ccf4ZQCi9ZLQxpnmWrJrudi7ul3qmfiIyDhgCFIrI2bilXKGVkVVV3diRILyVtG7Htdb6vqr+N+OaSa9MYQHwioh8XlUzR4y340b5ZuLKBo7ELWqwzft6OnCWV9rwbeApEYkD38v35Vbz3eJbp+wEXvJejXj1sGNoSF7Tr71wZQXDcAtR9O+ueFtQjft7tMP7czsu4VmbfhX3L/oIKrdEZk/rsy1bvNXifoyrDy/Ald7cgivZuQjXCWSyd/ivcB8gV3jnCu4DTS6TgCO9Nnq5fr4fZiWcp+NNLPV+V80CDsGVshwMLMa1sLvSO+ZgVV2S8T6KceVOmX2dp+H+Lj6ecZzguqgkVbVPfRAxpiWWrJrd4v1yPcz7tsVETESOwCVzX8/YHAUOxSWw6U4DF+Iey4NLWlPa8R5rjWaei8gQXD3p9cBg4Guqemf2Saq62ZvJ/yyuf+ztwE9UdaeqVorIJ3GjxI/iHv3PAGZ5CeoIvH8AVfU5b8LYHcBZIjJNVd/o4HsxLfDqYVd4r2YdctPTRbjEdQju70CJ9xqM+3sXxtVCt/QnuNHzaMaf0Rzb6nAJaWZSumPxrVPaOwGwr3oTt/jGE7if5yJcd40S3Ci6ZDzZieMmeQ7B/dtWgSuTaMmSZrYPBTLLKWI0dEEpwrXaC6lqQkTm4J783IBLrD/C/XfPtBFIZvVwHuDFvy1jW3ohkSuBv7cSuzF9hiWrpsNEZA/c5KJBQBWtJAm4kYRa3FKlAKjqA7gm/dnXPgr3eO0E3CPPtDa1PfKS6Fm4OlJoKAvYD/ghsBw4Q1Xfau4aqrrKi+M+4Au4Gf07vUT1T7iE5/8B53m1rl8VkcNxCyf8IOM6/09ENuC6A/SJfqv5bPGtU+pxo5jr/Y7FtMzrtXwRbrR5Ha7rxiYaj45nJpWPeH8uVNWjvOTwMlW9F0BEfowrF7lGVSPZ9xOR03ErtdV735+BSyBLgPHe/nR7vr1EJHPhkRBuIRPIGq1V1ZIc97oXGKCqU5v9ARhjAEtWzW7wRh+vx/1iflxVt7Ry/NUi8kRb6rlwE7bOxi1V+rWM7bnqU3PdS0WkBjd69nvc5BNUdaGIHIure2s1Dq+O9SwR2VtVP/I2Pwf8GfhTVj3r0bheotcDv826zsO4CWPGmDYSkULgbtzIZlhVIyIyTFWjIvJ/wMdU9WPesdtwT2WeAYpEJExGDbOXeF6PKye4PMfqdV/BjcRW4kbY64CbcaUlpbiV844Gvuwdvwr3ATTt98DncryHdWSsupdjf3NPjRqVEhjTl9kKViZviUggq8arW8/vwP2CbUzEjTGt8Oo8/42rT/4NruPGBFVd5u2fCZysqsd5378DfEtVm7TQE5Ezgdm4MoLP07BoyBDchMgVwGnN/b4QkfnAX1X1Lm9i1zuqKt6+OcBir+XeANxTnH1VdbW3fx1wq6relXG9S3AlTn9R1WjWvQ7EJc3j0u/VmL4u0PohxvhjdxPN7kxUvftZompMJ/GWNv64qt6CG+3cCBwhImXeaOR3gGNFRL3vDwWe8b4fBSAiBV5S+yjwE9xku4dwZQQJ4F5crf2Fbfh9MVxEbsCrp8+47+dw7fOUhnKjZsuVvAmkd+MmaBV4264TkRO8Q+qAheSe+GVMn2RlAMYYY/JSxsTKq3H15nvSMHnpY7gyodtw/5Zdh+sO8ADecs1eZ49twNWqeqeI3I1LVpfg6mD74UZUm10mWkQm4pLcH+E6hPwa2DfjkDtxtfu3Z2zLrIe+AFjl1fh/G9ct5HOq+piIhEXkd7guBveJyJteb+ej2vQDMqaPsGTVGGNM3hKRk3Cjoi/jFoVIj4CuV9XVIhLBLem8WkTGevt2dSZR1ZkZlysA3gVOxLWcehuYJCJbsxfuEJEC757HeJt+jeuXXIzrFhDxYhHcU8r0v6cpVd3V7UFV54tIAFfGMBTXEeK3IvIwbiR2Jq6mtcAbTTbGZLFk1RhjTF4SkcNwdau34rqOZC7D28+rEQ0CQe/r4qzzA8CBwCnAp4CP45LGrwKbccnnfUBURN7EPX5fB7ykqi+KyGJcx4+v4hYzUW9RkIVZoX6ChslWT3n32SVjEYNq3CIolwL3AL9V1SpvItnjXj/mS1R1c/t/Wsb0XjbByhhjTN7x+hUvx/U6ngr8FLeow024+tWWDMSVDtyIe9SfxK2G9ndce6vMPrcTgPNwCedY3EjpRV5bvXQsuyZYed+HcEntNenjvDZ3C3CTvl7Oei8343qzTsLVy76MG5Ud4H3f34u5P66E4OOqam3ujPHYyKoxxpi8o6pbReSHwF3eiGZ/GvdUPQbXPurXuH/LvoFLBh/x9j8LHI6rUS0E/oKrc/1jC7fdG9eb+cUWjkFV4yLye+BHIvIvXBnAn4C7sxNVTzGuvnYubkS3Drea32HAGbhFI+pwCevvW7q3MX2RdQMwxhiTl1T1V6pa631bRuMVp3aq6ja81cO8ryszzl2gquep6oO4ZBBVlVwv3JKtKVVdq6r/9vort+YXuFHYP+FGbOPAt5p5HzcAr+M6BzzpxfS+F/ca3AIjq3CjwZfaqKoxjVmyaowxJq+JyDDcSOq/aWj0P9BbajWMW2a1BPdYHTr2b1vOmjhvNbwBOXbV4xLVS4BPA7dkJNaZ55d6q1X9DtepIF2PWrDrxq4n6zeBq4CFInJkB+I3pteyMgBjjDF5yVuF6nTcylTne8saj/V2L8o6/MKMr4twS0CnpfuZtjhJQ0QKVDWZ8f0FwP245Pd9ESnFjZ4egusoEMEtrTwaeFhEtgJvAquB7+GWl56Na7l1greC3ggRuR84FjfaCoCq/ktEFgAPAneIyMnWu9kYxyZYGWOMyVsiMgZYl+65KiJBXN/TdW1N5kTkfOAf6VWncuz/GK6edFhmCYA3WnseMFdVl3vb/oBLQh/3tie97XviZvofA2xW1ZsyrhHNbEvlLVSwDfh71pLN6fdXpKqRtrw3Y/oCS1aNMbtNRMKqGmv9SGO6n9caaqBX12qM6WGsZtUYk5O3VOWoHNvPFZGhWZvvFZGnvUbq3UZEhntrqWdvHysih3RnLCZ/qWrUElVjei4bWTWmjxGRkXiTUnA9KAfhVtYZjlshaB/gAOAIoAI4UFXrvXMLcav+DMb1opwrIoNxS1deo6r3tOH+Rbiawkw1uLXewa3ZnrlOexDXeuiPqtqov6aIXItbbrPcm1Wd3v4r4AhVndxaPMYYY/KbJavG9DEi8kvcGuVptbhkcQSuWflSXNP1TbiZy3NVdWvG+YNwq/7EVPU8EfkubjnM1hzlTTD5PvDDrH0XAJ8HQrhEdRyunc983BOgEG599xVZ7+U1XMufb+AS77Qy4BrcZJjMusaIjbAZY0zPYsmqMX2MiBTjEsEIUK2qSW+G9SrgJFWd34ZrCG5kdjjwAfA14FVguaqmso5Nr4derqorROQG4HRVPd3br8DnVPXhjHP+DzgxfUwzMZwCPI9b2vLrwBQaj8oqDW2O0mu3P6Cql7X2/owxxuQPa11lTN+TwCWPscw2Pdm8ddULgYSqxr1t5UCJqr4hIglgDq6F0FO4ZPcs3MpBmdJ1rOklLnPN4G42jhb8wPvzI1X9dAfON8YY0wNYsmpM3/NFXDNz3ABpIy/m2DYduNf7+gbgchH5N261nctxKwjdhKtDfcg7X3BLTA6kIVlNJ6m5HuekcmxrloicC5ycte0BXNugeu9e6ZHVdM3r86p6RXvuY4wxxn+WrBrT9/wTeA6I0ZBAjgFeAz7j/Qnu0XkRrh9k2pdw/ShvB8ao6nwROQ638s4xwJXAOuAWoJ+qRjM6BKTvlQImiMiTGddVb5WiFG6UNQwUiMgAXLIbBrarasrrZ3knbkWgqzOucYV3bjx7xNiLwbqfGGNMD2TJqjF9jKpWkrGGOuyaoQ+wQ1U3tXCuAn8Tkf+oapW3bYGIHKyqS0XkyozjarzTspNVcJO3/up9/XHvz/8B2ctMVmd8PQaXCBfiSg5upnGy+lD6Wl4dbAo3shrI2D+1ufdmjDEmP1myakwfIiLDaXhMnqnQ+zOckbimhYCgqu7M2JZeTWgmbiZ+zEsQi3GjpNfQUApwsHdOMuPcTar6V+8a93vbT8PVtSZxS1VOAj6BS3Z3LZ+pqqtF5CRVTWSVLJwDJNP1tVnvuwD7fWeMMT2SPRYzpm/ZihutrMt6feDtfzbHvioy1jD3OgH8V0RGA98HhuAmXZXg1lG/zfu6BNe/NV2jmk6Qcy15Kapaqaq1qhrFjYqqqsZVtV5VKzK7DORaZtM7rkmi6u1Letc1xhjTw1iyakzfMgYoxSWYma/Dvf1n5ti3B3BixjUOx416jvISwDHAqTnudQVuxDZdBtDSjP/d/l0kIr8SkbiIVOR4xUXklt29hzHGmO5nj8WM6UNUdV2u7SJS4n0ZUdWKVi7zSWCZqqZHWyeRu2XV94BXaJjpnx4NLQBO88oGyNi2u6LAvFy9WUXkEW+/McaYHsZGVo0x7XUurr9qpn4iMg43ElsmImfTsKJU9shqAfASsK/3AlcXu7taa3/VrvZYxhhj8oONrBrTx3k1qId537bYnF9EjsDN2P96xuYocCgugU13GrgQN7kKXNKa0obl8kJAvaqu9q65J1AiIhNomGA1HJcAH+idU4CbPJWurUVEwukvvT8DNB2xzfRaM9uNMcbkMUtWjenDRGQPYBkwCDeRakUrp0wDaoE30htU9QHggRzXPgq3DOsJwMqMXXcBf8k4f5OI3Ah8GZf4ZiabC7w/Q8BqGjoLgOsQAA0jt4XAPFxXgGx/yzjeGGNMDyINgx3GmL5IRK7CJYiPN1fTmnX8x1X1f204LoTrh7oGuF5V5+92sI2vfwCwFDhWVW3U1BhjeilLVo0xXUZEApktp4wxxpj2smTVGGOMMcbkLesGYIwxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZvWbJqjDHGGGPyliWrxhhjjDEmb1myaowxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZvWbJqjDHGGGPyliWrxhhjjDEmb1myaowxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZvWbJqjDHGGGPyliWrxhhjjDEmb1myaowxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZvWbJqjDHGGGPyliWrxhhjjDEmb1myaowxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZvWbJqjDHGGGPyliWrxhhjjDEmb1myaowxxhhj8pYlq8YYY4wxJm9ZsmqMMcYYY/KWJavGGGOMMSZv/X/hvwU4oDIOWAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 6), dpi=120)\n",
    "plt.pie(x=ansu_top10.交易指数, \n",
    "        labels=ansu_top10.流量来源, \n",
    "        autopct='%.2f%%',\n",
    "#        explode=np.random.random(ansu_top10.shape[0])/5\n",
    "       )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0574fe05",
   "metadata": {},
   "source": [
    "### 舆情分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "e9034e4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>产品名称</th>\n",
       "      <th>链接</th>\n",
       "      <th>评论页码</th>\n",
       "      <th>评论</th>\n",
       "      <th>评论日期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>0</td>\n",
       "      <td>此用户没有填写评论!</td>\n",
       "      <td>2018-11-18 12:19:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>0</td>\n",
       "      <td>此用户没有填写评论!</td>\n",
       "      <td>2018-11-22 13:51:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>0</td>\n",
       "      <td>真没想到家里竟有这么多，昨晚上放的，今天早起都还在动，沙发底下，床底下，厨房几乎都是十几二十...</td>\n",
       "      <td>2018-11-23 13:57:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>0</td>\n",
       "      <td>效果还不错，每个盒子里都有蟑螂，感觉还不错，之前买过别的牌子，蟑螂都不怎么往里进，这次比以前...</td>\n",
       "      <td>2018-11-22 15:37:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>0</td>\n",
       "      <td>物流速度快，蟑螂基本上没有了，以前天天看到蟑螂到处爬，放了一个礼拜效果不错，放上去蟑螂自己就...</td>\n",
       "      <td>2018-11-24 12:02:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1395</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>69</td>\n",
       "      <td>非常好用，价格特别实惠，比之前在京东买的优惠好多！商家特别专业耐心，询问的问题都耐心解答。如...</td>\n",
       "      <td>2018-10-31 23:50:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1396</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>69</td>\n",
       "      <td>没用  引不来蟑螂  而且套餐价格比单买还贵  坑</td>\n",
       "      <td>2018-11-16 20:45:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>69</td>\n",
       "      <td>这个挺好用的</td>\n",
       "      <td>2018-11-13 12:39:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1398</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>69</td>\n",
       "      <td>北北服务热情，细心体贴，北北推荐的东西很赞，一晚上就抓到了好多个</td>\n",
       "      <td>2018-11-06 09:32:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1399</th>\n",
       "      <td>日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端</td>\n",
       "      <td>https://detail.tmall.com/item.htm?spm=a230r.1....</td>\n",
       "      <td>69</td>\n",
       "      <td>除了物流太慢，其它都还好</td>\n",
       "      <td>2018-11-20 22:44:52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1400 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                产品名称  \\\n",
       "0     日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "1     日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "2     日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "3     日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "4     日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "...                              ...   \n",
       "1395  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "1396  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "1397  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "1398  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "1399  日本安速小强恢恢蟑螂屋纸盒子捕捉器药灭杀强力家用贴克星全窝端   \n",
       "\n",
       "                                                     链接  评论页码  \\\n",
       "0     https://detail.tmall.com/item.htm?spm=a230r.1....     0   \n",
       "1     https://detail.tmall.com/item.htm?spm=a230r.1....     0   \n",
       "2     https://detail.tmall.com/item.htm?spm=a230r.1....     0   \n",
       "3     https://detail.tmall.com/item.htm?spm=a230r.1....     0   \n",
       "4     https://detail.tmall.com/item.htm?spm=a230r.1....     0   \n",
       "...                                                 ...   ...   \n",
       "1395  https://detail.tmall.com/item.htm?spm=a230r.1....    69   \n",
       "1396  https://detail.tmall.com/item.htm?spm=a230r.1....    69   \n",
       "1397  https://detail.tmall.com/item.htm?spm=a230r.1....    69   \n",
       "1398  https://detail.tmall.com/item.htm?spm=a230r.1....    69   \n",
       "1399  https://detail.tmall.com/item.htm?spm=a230r.1....    69   \n",
       "\n",
       "                                                     评论                 评论日期  \n",
       "0                                            此用户没有填写评论!  2018-11-18 12:19:09  \n",
       "1                                            此用户没有填写评论!  2018-11-22 13:51:39  \n",
       "2     真没想到家里竟有这么多，昨晚上放的，今天早起都还在动，沙发底下，床底下，厨房几乎都是十几二十...  2018-11-23 13:57:18  \n",
       "3     效果还不错，每个盒子里都有蟑螂，感觉还不错，之前买过别的牌子，蟑螂都不怎么往里进，这次比以前...  2018-11-22 15:37:16  \n",
       "4     物流速度快，蟑螂基本上没有了，以前天天看到蟑螂到处爬，放了一个礼拜效果不错，放上去蟑螂自己就...  2018-11-24 12:02:57  \n",
       "...                                                 ...                  ...  \n",
       "1395  非常好用，价格特别实惠，比之前在京东买的优惠好多！商家特别专业耐心，询问的问题都耐心解答。如...  2018-10-31 23:50:52  \n",
       "1396                          没用  引不来蟑螂  而且套餐价格比单买还贵  坑  2018-11-16 20:45:11  \n",
       "1397                                             这个挺好用的  2018-11-13 12:39:12  \n",
       "1398                   北北服务热情，细心体贴，北北推荐的东西很赞，一晚上就抓到了好多个  2018-11-06 09:32:12  \n",
       "1399                                       除了物流太慢，其它都还好  2018-11-20 22:44:52  \n",
       "\n",
       "[1400 rows x 5 columns]"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text = pd.read_excel('./data/竞争数据/评论舆情数据/安速.xlsx')\n",
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "7d63ce07",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = text[text.评论 != '此用户没有填写评论!']['评论']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "488d82c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2       真没想到家里竟有这么多，昨晚上放的，今天早起都还在动，沙发底下，床底下，厨房几乎都是十几二十...\n",
       "3       效果还不错，每个盒子里都有蟑螂，感觉还不错，之前买过别的牌子，蟑螂都不怎么往里进，这次比以前...\n",
       "4       物流速度快，蟑螂基本上没有了，以前天天看到蟑螂到处爬，放了一个礼拜效果不错，放上去蟑螂自己就...\n",
       "5       家里蟑螂太多了，用这个实在很好，不怕污染，一次放上几个，很有效果，密密麻麻，成就感十足。过瘾...\n",
       "6       物流很快，晚上下单，隔天就到了。东西非常非常非常非常好用，我们一家都满意得不能再满意啦，屋子...\n",
       "                              ...                        \n",
       "1395    非常好用，价格特别实惠，比之前在京东买的优惠好多！商家特别专业耐心，询问的问题都耐心解答。如...\n",
       "1396                            没用  引不来蟑螂  而且套餐价格比单买还贵  坑\n",
       "1397                                               这个挺好用的\n",
       "1398                     北北服务热情，细心体贴，北北推荐的东西很赞，一晚上就抓到了好多个\n",
       "1399                                         除了物流太慢，其它都还好\n",
       "Name: 评论, Length: 1275, dtype: object"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "bd2fd5dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import jieba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "64bb3e7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "words = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "81777b6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用结巴分词，把原始的句子处理成 空格作为词汇分割的符号\n",
    "for statement in text:\n",
    "    word_list = jieba.cut(statement)\n",
    "    words.extend(word_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "0e458ae6",
   "metadata": {},
   "outputs": [],
   "source": [
    "statement = \" \".join(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "97246ee4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "20a67fac",
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = pd.read_table('./data/百度停用词表.txt', header=None).values.reshape(-1).tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "b1fb5617",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['--',\n",
       " '?',\n",
       " '“',\n",
       " '”',\n",
       " '》',\n",
       " '－－',\n",
       " 'able',\n",
       " 'about',\n",
       " 'above',\n",
       " 'according',\n",
       " 'accordingly',\n",
       " 'across',\n",
       " 'actually',\n",
       " 'after',\n",
       " 'afterwards',\n",
       " 'again',\n",
       " 'against',\n",
       " \"ain't\",\n",
       " 'all',\n",
       " 'allow',\n",
       " 'allows',\n",
       " 'almost',\n",
       " 'alone',\n",
       " 'along',\n",
       " 'already',\n",
       " 'also',\n",
       " 'although',\n",
       " 'always',\n",
       " 'am',\n",
       " 'among',\n",
       " 'amongst',\n",
       " 'an',\n",
       " 'and',\n",
       " 'another',\n",
       " 'any',\n",
       " 'anybody',\n",
       " 'anyhow',\n",
       " 'anyone',\n",
       " 'anything',\n",
       " 'anyway',\n",
       " 'anyways',\n",
       " 'anywhere',\n",
       " 'apart',\n",
       " 'appear',\n",
       " 'appreciate',\n",
       " 'appropriate',\n",
       " 'are',\n",
       " \"aren't\",\n",
       " 'around',\n",
       " 'as',\n",
       " \"a's\",\n",
       " 'aside',\n",
       " 'ask',\n",
       " 'asking',\n",
       " 'associated',\n",
       " 'at',\n",
       " 'available',\n",
       " 'away',\n",
       " 'awfully',\n",
       " 'be',\n",
       " 'became',\n",
       " 'because',\n",
       " 'become',\n",
       " 'becomes',\n",
       " 'becoming',\n",
       " 'been',\n",
       " 'before',\n",
       " 'beforehand',\n",
       " 'behind',\n",
       " 'being',\n",
       " 'believe',\n",
       " 'below',\n",
       " 'beside',\n",
       " 'besides',\n",
       " 'best',\n",
       " 'better',\n",
       " 'between',\n",
       " 'beyond',\n",
       " 'both',\n",
       " 'brief',\n",
       " 'but',\n",
       " 'by',\n",
       " 'came',\n",
       " 'can',\n",
       " 'cannot',\n",
       " 'cant',\n",
       " \"can't\",\n",
       " 'cause',\n",
       " 'causes',\n",
       " 'certain',\n",
       " 'certainly',\n",
       " 'changes',\n",
       " 'clearly',\n",
       " \"c'mon\",\n",
       " 'co',\n",
       " 'com',\n",
       " 'come',\n",
       " 'comes',\n",
       " 'concerning',\n",
       " 'consequently',\n",
       " 'consider',\n",
       " 'considering',\n",
       " 'contain',\n",
       " 'containing',\n",
       " 'contains',\n",
       " 'corresponding',\n",
       " 'could',\n",
       " \"couldn't\",\n",
       " 'course',\n",
       " \"c's\",\n",
       " 'currently',\n",
       " 'definitely',\n",
       " 'described',\n",
       " 'despite',\n",
       " 'did',\n",
       " \"didn't\",\n",
       " 'different',\n",
       " 'do',\n",
       " 'does',\n",
       " \"doesn't\",\n",
       " 'doing',\n",
       " 'done',\n",
       " \"don't\",\n",
       " 'down',\n",
       " 'downwards',\n",
       " 'during',\n",
       " 'each',\n",
       " 'edu',\n",
       " 'eg',\n",
       " 'eight',\n",
       " 'either',\n",
       " 'else',\n",
       " 'elsewhere',\n",
       " 'enough',\n",
       " 'entirely',\n",
       " 'especially',\n",
       " 'et',\n",
       " 'etc',\n",
       " 'even',\n",
       " 'ever',\n",
       " 'every',\n",
       " 'everybody',\n",
       " 'everyone',\n",
       " 'everything',\n",
       " 'everywhere',\n",
       " 'ex',\n",
       " 'exactly',\n",
       " 'example',\n",
       " 'except',\n",
       " 'far',\n",
       " 'few',\n",
       " 'fifth',\n",
       " 'first',\n",
       " 'five',\n",
       " 'followed',\n",
       " 'following',\n",
       " 'follows',\n",
       " 'for',\n",
       " 'former',\n",
       " 'formerly',\n",
       " 'forth',\n",
       " 'four',\n",
       " 'from',\n",
       " 'further',\n",
       " 'furthermore',\n",
       " 'get',\n",
       " 'gets',\n",
       " 'getting',\n",
       " 'given',\n",
       " 'gives',\n",
       " 'go',\n",
       " 'goes',\n",
       " 'going',\n",
       " 'gone',\n",
       " 'got',\n",
       " 'gotten',\n",
       " 'greetings',\n",
       " 'had',\n",
       " \"hadn't\",\n",
       " 'happens',\n",
       " 'hardly',\n",
       " 'has',\n",
       " \"hasn't\",\n",
       " 'have',\n",
       " \"haven't\",\n",
       " 'having',\n",
       " 'he',\n",
       " 'hello',\n",
       " 'help',\n",
       " 'hence',\n",
       " 'her',\n",
       " 'here',\n",
       " 'hereafter',\n",
       " 'hereby',\n",
       " 'herein',\n",
       " \"here's\",\n",
       " 'hereupon',\n",
       " 'hers',\n",
       " 'herself',\n",
       " \"he's\",\n",
       " 'hi',\n",
       " 'him',\n",
       " 'himself',\n",
       " 'his',\n",
       " 'hither',\n",
       " 'hopefully',\n",
       " 'how',\n",
       " 'howbeit',\n",
       " 'however',\n",
       " \"i'd\",\n",
       " 'ie',\n",
       " 'if',\n",
       " 'ignored',\n",
       " \"i'll\",\n",
       " \"i'm\",\n",
       " 'immediate',\n",
       " 'in',\n",
       " 'inasmuch',\n",
       " 'inc',\n",
       " 'indeed',\n",
       " 'indicate',\n",
       " 'indicated',\n",
       " 'indicates',\n",
       " 'inner',\n",
       " 'insofar',\n",
       " 'instead',\n",
       " 'into',\n",
       " 'inward',\n",
       " 'is',\n",
       " \"isn't\",\n",
       " 'it',\n",
       " \"it'd\",\n",
       " \"it'll\",\n",
       " 'its',\n",
       " \"it's\",\n",
       " 'itself',\n",
       " \"i've\",\n",
       " 'just',\n",
       " 'keep',\n",
       " 'keeps',\n",
       " 'kept',\n",
       " 'know',\n",
       " 'known',\n",
       " 'knows',\n",
       " 'last',\n",
       " 'lately',\n",
       " 'later',\n",
       " 'latter',\n",
       " 'latterly',\n",
       " 'least',\n",
       " 'less',\n",
       " 'lest',\n",
       " 'let',\n",
       " \"let's\",\n",
       " 'like',\n",
       " 'liked',\n",
       " 'likely',\n",
       " 'little',\n",
       " 'look',\n",
       " 'looking',\n",
       " 'looks',\n",
       " 'ltd',\n",
       " 'mainly',\n",
       " 'many',\n",
       " 'may',\n",
       " 'maybe',\n",
       " 'me',\n",
       " 'mean',\n",
       " 'meanwhile',\n",
       " 'merely',\n",
       " 'might',\n",
       " 'more',\n",
       " 'moreover',\n",
       " 'most',\n",
       " 'mostly',\n",
       " 'much',\n",
       " 'must',\n",
       " 'my',\n",
       " 'myself',\n",
       " 'name',\n",
       " 'namely',\n",
       " 'nd',\n",
       " 'near',\n",
       " 'nearly',\n",
       " 'necessary',\n",
       " 'need',\n",
       " 'needs',\n",
       " 'neither',\n",
       " 'never',\n",
       " 'nevertheless',\n",
       " 'new',\n",
       " 'next',\n",
       " 'nine',\n",
       " 'no',\n",
       " 'nobody',\n",
       " 'non',\n",
       " 'none',\n",
       " 'noone',\n",
       " 'nor',\n",
       " 'normally',\n",
       " 'not',\n",
       " 'nothing',\n",
       " 'novel',\n",
       " 'now',\n",
       " 'nowhere',\n",
       " 'obviously',\n",
       " 'of',\n",
       " 'off',\n",
       " 'often',\n",
       " 'oh',\n",
       " 'ok',\n",
       " 'okay',\n",
       " 'old',\n",
       " 'on',\n",
       " 'once',\n",
       " 'one',\n",
       " 'ones',\n",
       " 'only',\n",
       " 'onto',\n",
       " 'or',\n",
       " 'other',\n",
       " 'others',\n",
       " 'otherwise',\n",
       " 'ought',\n",
       " 'our',\n",
       " 'ours',\n",
       " 'ourselves',\n",
       " 'out',\n",
       " 'outside',\n",
       " 'over',\n",
       " 'overall',\n",
       " 'own',\n",
       " 'particular',\n",
       " 'particularly',\n",
       " 'per',\n",
       " 'perhaps',\n",
       " 'placed',\n",
       " 'please',\n",
       " 'plus',\n",
       " 'possible',\n",
       " 'presumably',\n",
       " 'probably',\n",
       " 'provides',\n",
       " 'que',\n",
       " 'quite',\n",
       " 'qv',\n",
       " 'rather',\n",
       " 'rd',\n",
       " 're',\n",
       " 'really',\n",
       " 'reasonably',\n",
       " 'regarding',\n",
       " 'regardless',\n",
       " 'regards',\n",
       " 'relatively',\n",
       " 'respectively',\n",
       " 'right',\n",
       " 'said',\n",
       " 'same',\n",
       " 'saw',\n",
       " 'say',\n",
       " 'saying',\n",
       " 'says',\n",
       " 'second',\n",
       " 'secondly',\n",
       " 'see',\n",
       " 'seeing',\n",
       " 'seem',\n",
       " 'seemed',\n",
       " 'seeming',\n",
       " 'seems',\n",
       " 'seen',\n",
       " 'self',\n",
       " 'selves',\n",
       " 'sensible',\n",
       " 'sent',\n",
       " 'serious',\n",
       " 'seriously',\n",
       " 'seven',\n",
       " 'several',\n",
       " 'shall',\n",
       " 'she',\n",
       " 'should',\n",
       " \"shouldn't\",\n",
       " 'since',\n",
       " 'six',\n",
       " 'so',\n",
       " 'some',\n",
       " 'somebody',\n",
       " 'somehow',\n",
       " 'someone',\n",
       " 'something',\n",
       " 'sometime',\n",
       " 'sometimes',\n",
       " 'somewhat',\n",
       " 'somewhere',\n",
       " 'soon',\n",
       " 'sorry',\n",
       " 'specified',\n",
       " 'specify',\n",
       " 'specifying',\n",
       " 'still',\n",
       " 'sub',\n",
       " 'such',\n",
       " 'sup',\n",
       " 'sure',\n",
       " 'take',\n",
       " 'taken',\n",
       " 'tell',\n",
       " 'tends',\n",
       " 'th',\n",
       " 'than',\n",
       " 'thank',\n",
       " 'thanks',\n",
       " 'thanx',\n",
       " 'that',\n",
       " 'thats',\n",
       " \"that's\",\n",
       " 'the',\n",
       " 'their',\n",
       " 'theirs',\n",
       " 'them',\n",
       " 'themselves',\n",
       " 'then',\n",
       " 'thence',\n",
       " 'there',\n",
       " 'thereafter',\n",
       " 'thereby',\n",
       " 'therefore',\n",
       " 'therein',\n",
       " 'theres',\n",
       " \"there's\",\n",
       " 'thereupon',\n",
       " 'these',\n",
       " 'they',\n",
       " \"they'd\",\n",
       " \"they'll\",\n",
       " \"they're\",\n",
       " \"they've\",\n",
       " 'think',\n",
       " 'third',\n",
       " 'this',\n",
       " 'thorough',\n",
       " 'thoroughly',\n",
       " 'those',\n",
       " 'though',\n",
       " 'three',\n",
       " 'through',\n",
       " 'throughout',\n",
       " 'thru',\n",
       " 'thus',\n",
       " 'to',\n",
       " 'together',\n",
       " 'too',\n",
       " 'took',\n",
       " 'toward',\n",
       " 'towards',\n",
       " 'tried',\n",
       " 'tries',\n",
       " 'truly',\n",
       " 'try',\n",
       " 'trying',\n",
       " \"t's\",\n",
       " 'twice',\n",
       " 'two',\n",
       " 'un',\n",
       " 'under',\n",
       " 'unfortunately',\n",
       " 'unless',\n",
       " 'unlikely',\n",
       " 'until',\n",
       " 'unto',\n",
       " 'up',\n",
       " 'upon',\n",
       " 'us',\n",
       " 'use',\n",
       " 'used',\n",
       " 'useful',\n",
       " 'uses',\n",
       " 'using',\n",
       " 'usually',\n",
       " 'value',\n",
       " 'various',\n",
       " 'very',\n",
       " 'via',\n",
       " 'viz',\n",
       " 'vs',\n",
       " 'want',\n",
       " 'wants',\n",
       " 'was',\n",
       " \"wasn't\",\n",
       " 'way',\n",
       " 'we',\n",
       " \"we'd\",\n",
       " 'welcome',\n",
       " 'well',\n",
       " \"we'll\",\n",
       " 'went',\n",
       " 'were',\n",
       " \"we're\",\n",
       " \"weren't\",\n",
       " \"we've\",\n",
       " 'what',\n",
       " 'whatever',\n",
       " \"what's\",\n",
       " 'when',\n",
       " 'whence',\n",
       " 'whenever',\n",
       " 'where',\n",
       " 'whereafter',\n",
       " 'whereas',\n",
       " 'whereby',\n",
       " 'wherein',\n",
       " \"where's\",\n",
       " 'whereupon',\n",
       " 'wherever',\n",
       " 'whether',\n",
       " 'which',\n",
       " 'while',\n",
       " 'whither',\n",
       " 'who',\n",
       " 'whoever',\n",
       " 'whole',\n",
       " 'whom',\n",
       " \"who's\",\n",
       " 'whose',\n",
       " 'why',\n",
       " 'will',\n",
       " 'willing',\n",
       " 'wish',\n",
       " 'with',\n",
       " 'within',\n",
       " 'without',\n",
       " 'wonder',\n",
       " \"won't\",\n",
       " 'would',\n",
       " \"wouldn't\",\n",
       " 'yes',\n",
       " 'yet',\n",
       " 'you',\n",
       " \"you'd\",\n",
       " \"you'll\",\n",
       " 'your',\n",
       " \"you're\",\n",
       " 'yours',\n",
       " 'yourself',\n",
       " 'yourselves',\n",
       " \"you've\",\n",
       " 'zero',\n",
       " 'zt',\n",
       " 'ZT',\n",
       " 'zz',\n",
       " 'ZZ',\n",
       " '一',\n",
       " '一下',\n",
       " '一些',\n",
       " '一切',\n",
       " '一则',\n",
       " '一天',\n",
       " '一定',\n",
       " '一方面',\n",
       " '一旦',\n",
       " '一时',\n",
       " '一来',\n",
       " '一样',\n",
       " '一次',\n",
       " '一片',\n",
       " '一直',\n",
       " '一致',\n",
       " '一般',\n",
       " '一起',\n",
       " '一边',\n",
       " '一面',\n",
       " '万一',\n",
       " '上下',\n",
       " '上升',\n",
       " '上去',\n",
       " '上来',\n",
       " '上述',\n",
       " '上面',\n",
       " '下列',\n",
       " '下去',\n",
       " '下来',\n",
       " '下面',\n",
       " '不一',\n",
       " '不久',\n",
       " '不仅',\n",
       " '不会',\n",
       " '不但',\n",
       " '不光',\n",
       " '不单',\n",
       " '不变',\n",
       " '不只',\n",
       " '不可',\n",
       " '不同',\n",
       " '不够',\n",
       " '不如',\n",
       " '不得',\n",
       " '不怕',\n",
       " '不惟',\n",
       " '不成',\n",
       " '不拘',\n",
       " '不敢',\n",
       " '不断',\n",
       " '不是',\n",
       " '不比',\n",
       " '不然',\n",
       " '不特',\n",
       " '不独',\n",
       " '不管',\n",
       " '不能',\n",
       " '不要',\n",
       " '不论',\n",
       " '不足',\n",
       " '不过',\n",
       " '不问',\n",
       " '与',\n",
       " '与其',\n",
       " '与否',\n",
       " '与此同时',\n",
       " '专门',\n",
       " '且',\n",
       " '两者',\n",
       " '严格',\n",
       " '严重',\n",
       " '个',\n",
       " '个人',\n",
       " '个别',\n",
       " '中小',\n",
       " '中间',\n",
       " '丰富',\n",
       " '临',\n",
       " '为',\n",
       " '为主',\n",
       " '为了',\n",
       " '为什么',\n",
       " '为什麽',\n",
       " '为何',\n",
       " '为着',\n",
       " '主张',\n",
       " '主要',\n",
       " '举行',\n",
       " '乃',\n",
       " '乃至',\n",
       " '么',\n",
       " '之',\n",
       " '之一',\n",
       " '之前',\n",
       " '之后',\n",
       " '之後',\n",
       " '之所以',\n",
       " '之类',\n",
       " '乌乎',\n",
       " '乎',\n",
       " '乘',\n",
       " '也',\n",
       " '也好',\n",
       " '也是',\n",
       " '也罢',\n",
       " '了',\n",
       " '了解',\n",
       " '争取',\n",
       " '于',\n",
       " '于是',\n",
       " '于是乎',\n",
       " '云云',\n",
       " '互相',\n",
       " '产生',\n",
       " '人们',\n",
       " '人家',\n",
       " '什么',\n",
       " '什么样',\n",
       " '什麽',\n",
       " '今后',\n",
       " '今天',\n",
       " '今年',\n",
       " '今後',\n",
       " '仍然',\n",
       " '从',\n",
       " '从事',\n",
       " '从而',\n",
       " '他',\n",
       " '他人',\n",
       " '他们',\n",
       " '他的',\n",
       " '代替',\n",
       " '以',\n",
       " '以上',\n",
       " '以下',\n",
       " '以为',\n",
       " '以便',\n",
       " '以免',\n",
       " '以前',\n",
       " '以及',\n",
       " '以后',\n",
       " '以外',\n",
       " '以後',\n",
       " '以来',\n",
       " '以至',\n",
       " '以至于',\n",
       " '以致',\n",
       " '们',\n",
       " '任',\n",
       " '任何',\n",
       " '任凭',\n",
       " '任务',\n",
       " '企图',\n",
       " '伟大',\n",
       " '似乎',\n",
       " '似的',\n",
       " '但',\n",
       " '但是',\n",
       " '何',\n",
       " '何况',\n",
       " '何处',\n",
       " '何时',\n",
       " '作为',\n",
       " '你',\n",
       " '你们',\n",
       " '你的',\n",
       " '使得',\n",
       " '使用',\n",
       " '例如',\n",
       " '依',\n",
       " '依照',\n",
       " '依靠',\n",
       " '促进',\n",
       " '保持',\n",
       " '俺',\n",
       " '俺们',\n",
       " '倘',\n",
       " '倘使',\n",
       " '倘或',\n",
       " '倘然',\n",
       " '倘若',\n",
       " '假使',\n",
       " '假如',\n",
       " '假若',\n",
       " '做到',\n",
       " '像',\n",
       " '允许',\n",
       " '充分',\n",
       " '先后',\n",
       " '先後',\n",
       " '先生',\n",
       " '全部',\n",
       " '全面',\n",
       " '兮',\n",
       " '共同',\n",
       " '关于',\n",
       " '其',\n",
       " '其一',\n",
       " '其中',\n",
       " '其二',\n",
       " '其他',\n",
       " '其余',\n",
       " '其它',\n",
       " '其实',\n",
       " '其次',\n",
       " '具体',\n",
       " '具体地说',\n",
       " '具体说来',\n",
       " '具有',\n",
       " '再者',\n",
       " '再说',\n",
       " '冒',\n",
       " '冲',\n",
       " '决定',\n",
       " '况且',\n",
       " '准备',\n",
       " '几',\n",
       " '几乎',\n",
       " '几时',\n",
       " '凭',\n",
       " '凭借',\n",
       " '出去',\n",
       " '出来',\n",
       " '出现',\n",
       " '分别',\n",
       " '则',\n",
       " '别',\n",
       " '别的',\n",
       " '别说',\n",
       " '到',\n",
       " '前后',\n",
       " '前者',\n",
       " '前进',\n",
       " '前面',\n",
       " '加之',\n",
       " '加以',\n",
       " '加入',\n",
       " '加强',\n",
       " '十分',\n",
       " '即',\n",
       " '即令',\n",
       " '即使',\n",
       " '即便',\n",
       " '即或',\n",
       " '即若',\n",
       " '却不',\n",
       " '原来',\n",
       " '又',\n",
       " '及',\n",
       " '及其',\n",
       " '及时',\n",
       " '及至',\n",
       " '双方',\n",
       " '反之',\n",
       " '反应',\n",
       " '反映',\n",
       " '反过来',\n",
       " '反过来说',\n",
       " '取得',\n",
       " '受到',\n",
       " '变成',\n",
       " '另',\n",
       " '另一方面',\n",
       " '另外',\n",
       " '只是',\n",
       " '只有',\n",
       " '只要',\n",
       " '只限',\n",
       " '叫',\n",
       " '叫做',\n",
       " '召开',\n",
       " '叮咚',\n",
       " '可',\n",
       " '可以',\n",
       " '可是',\n",
       " '可能',\n",
       " '可见',\n",
       " '各',\n",
       " '各个',\n",
       " '各人',\n",
       " '各位',\n",
       " '各地',\n",
       " '各种',\n",
       " '各级',\n",
       " '各自',\n",
       " '合理',\n",
       " '同',\n",
       " '同一',\n",
       " '同时',\n",
       " '同样',\n",
       " '后来',\n",
       " '后面',\n",
       " '向',\n",
       " '向着',\n",
       " '吓',\n",
       " '吗',\n",
       " '否则',\n",
       " '吧',\n",
       " '吧哒',\n",
       " '吱',\n",
       " '呀',\n",
       " '呃',\n",
       " '呕',\n",
       " '呗',\n",
       " '呜',\n",
       " '呜呼',\n",
       " '呢',\n",
       " '周围',\n",
       " '呵',\n",
       " '呸',\n",
       " '呼哧',\n",
       " '咋',\n",
       " '和',\n",
       " '咚',\n",
       " '咦',\n",
       " '咱',\n",
       " '咱们',\n",
       " '咳',\n",
       " '哇',\n",
       " '哈',\n",
       " '哈哈',\n",
       " '哉',\n",
       " '哎',\n",
       " '哎呀',\n",
       " '哎哟',\n",
       " '哗',\n",
       " '哟',\n",
       " '哦',\n",
       " '哩',\n",
       " '哪',\n",
       " '哪个',\n",
       " '哪些',\n",
       " '哪儿',\n",
       " '哪天',\n",
       " '哪年',\n",
       " '哪怕',\n",
       " '哪样',\n",
       " '哪边',\n",
       " '哪里',\n",
       " '哼',\n",
       " '哼唷',\n",
       " '唉',\n",
       " '啊',\n",
       " '啐',\n",
       " '啥',\n",
       " '啦',\n",
       " '啪达',\n",
       " '喂',\n",
       " '喏',\n",
       " '喔唷',\n",
       " '嗡嗡',\n",
       " '嗬',\n",
       " '嗯',\n",
       " '嗳',\n",
       " '嘎',\n",
       " '嘎登',\n",
       " '嘘',\n",
       " '嘛',\n",
       " '嘻',\n",
       " '嘿',\n",
       " '因',\n",
       " '因为',\n",
       " '因此',\n",
       " '因而',\n",
       " '固然',\n",
       " '在',\n",
       " '在下',\n",
       " '地',\n",
       " '坚决',\n",
       " '坚持',\n",
       " '基本',\n",
       " '处理',\n",
       " '复杂',\n",
       " '多',\n",
       " '多少',\n",
       " '多数',\n",
       " '多次',\n",
       " '大力',\n",
       " '大多数',\n",
       " '大大',\n",
       " '大家',\n",
       " '大批',\n",
       " '大约',\n",
       " '大量',\n",
       " '失去',\n",
       " '她',\n",
       " '她们',\n",
       " '她的',\n",
       " '好的',\n",
       " '好象',\n",
       " '如',\n",
       " '如上所述',\n",
       " '如下',\n",
       " '如何',\n",
       " '如其',\n",
       " '如果',\n",
       " '如此',\n",
       " '如若',\n",
       " '存在',\n",
       " '宁',\n",
       " '宁可',\n",
       " '宁愿',\n",
       " '宁肯',\n",
       " '它',\n",
       " '它们',\n",
       " '它们的',\n",
       " '它的',\n",
       " '安全',\n",
       " '完全',\n",
       " '完成',\n",
       " '实现',\n",
       " '实际',\n",
       " '宣布',\n",
       " '容易',\n",
       " '密切',\n",
       " '对',\n",
       " '对于',\n",
       " '对应',\n",
       " '将',\n",
       " '少数',\n",
       " '尔后',\n",
       " '尚且',\n",
       " '尤其',\n",
       " '就',\n",
       " '就是',\n",
       " '就是说',\n",
       " '尽',\n",
       " '尽管',\n",
       " '属于',\n",
       " '岂但',\n",
       " '左右',\n",
       " '巨大',\n",
       " '巩固',\n",
       " '己',\n",
       " '已经',\n",
       " '帮助',\n",
       " '常常',\n",
       " '并',\n",
       " '并不',\n",
       " '并不是',\n",
       " '并且',\n",
       " '并没有',\n",
       " '广大',\n",
       " '广泛',\n",
       " '应当',\n",
       " '应用',\n",
       " ...]"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stop_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "id": "d582aa9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = CountVectorizer(stop_words=stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "d06bc09e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\a\\envs\\analysis_env\\lib\\site-packages\\sklearn\\feature_extraction\\text.py:391: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['ain', 'aren', 'couldn', 'didn', 'doesn', 'don', 'hadn', 'hasn', 'haven', 'isn', 'll', 'mon', 'shouldn', 've', 'wasn', 'weren', 'won', 'wouldn'] not in stop_words.\n",
      "  'stop_words.' % sorted(inconsistent))\n"
     ]
    }
   ],
   "source": [
    "matrix = cv.fit_transform([statement])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "9f888254",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10',\n",
       " '100',\n",
       " '11',\n",
       " '12',\n",
       " '13',\n",
       " '15',\n",
       " '20',\n",
       " '22',\n",
       " '23',\n",
       " '26',\n",
       " '30',\n",
       " '360g',\n",
       " '40',\n",
       " '50',\n",
       " '50cm',\n",
       " '51',\n",
       " '60',\n",
       " '85',\n",
       " 'acute',\n",
       " 'bull',\n",
       " 'cap',\n",
       " 'cp',\n",
       " 'emmmm',\n",
       " 'ensp',\n",
       " 'face',\n",
       " 'good',\n",
       " 'hah',\n",
       " 'hellip',\n",
       " 'jt',\n",
       " 'ldquo',\n",
       " 'middot',\n",
       " 'nice',\n",
       " 'nn',\n",
       " 'nnn',\n",
       " 'ojbk',\n",
       " 'omega',\n",
       " 'pink0914',\n",
       " 'rdquo',\n",
       " 'zhendehenhaoyong',\n",
       " '一下子',\n",
       " '一两个',\n",
       " '一两只',\n",
       " '一两周',\n",
       " '一两天',\n",
       " '一两米',\n",
       " '一个',\n",
       " '一个个',\n",
       " '一个月',\n",
       " '一个样',\n",
       " '一举',\n",
       " '一买',\n",
       " '一会',\n",
       " '一位',\n",
       " '一共',\n",
       " '一分',\n",
       " '一分货',\n",
       " '一分钱',\n",
       " '一刚',\n",
       " '一到',\n",
       " '一句',\n",
       " '一只',\n",
       " '一周',\n",
       " '一团',\n",
       " '一圈',\n",
       " '一地',\n",
       " '一堆',\n",
       " '一夜',\n",
       " '一大',\n",
       " '一大半',\n",
       " '一大堆',\n",
       " '一大早',\n",
       " '一如既往',\n",
       " '一字千金',\n",
       " '一家',\n",
       " '一家人',\n",
       " '一宿',\n",
       " '一小',\n",
       " '一尝',\n",
       " '一开',\n",
       " '一张',\n",
       " '一抓',\n",
       " '一放',\n",
       " '一晚',\n",
       " '一有',\n",
       " '一条',\n",
       " '一栋',\n",
       " '一楼',\n",
       " '一模一样',\n",
       " '一次性',\n",
       " '一款',\n",
       " '一段时间',\n",
       " '一点',\n",
       " '一用',\n",
       " '一百个',\n",
       " '一百多块',\n",
       " '一盒',\n",
       " '一盘',\n",
       " '一看',\n",
       " '一眼',\n",
       " '一种',\n",
       " '一箭双雕',\n",
       " '一箱',\n",
       " '一级',\n",
       " '一组',\n",
       " '一网打尽',\n",
       " '一群',\n",
       " '一般般',\n",
       " '一节',\n",
       " '一贴',\n",
       " '一赠',\n",
       " '一辈子',\n",
       " '一部分',\n",
       " '一锅端',\n",
       " '一间',\n",
       " '一阵',\n",
       " '一霎那',\n",
       " '一颗',\n",
       " '七个',\n",
       " '七八只',\n",
       " '三个',\n",
       " '三包',\n",
       " '三十多',\n",
       " '三只',\n",
       " '三四只',\n",
       " '三四天',\n",
       " '三四次',\n",
       " '三大',\n",
       " '三天',\n",
       " '三天三夜',\n",
       " '上帝保佑',\n",
       " '上当',\n",
       " '上放',\n",
       " '上架',\n",
       " '上档次',\n",
       " '上次',\n",
       " '上爬',\n",
       " '上班',\n",
       " '上瘾',\n",
       " '上网',\n",
       " '上路',\n",
       " '上钩',\n",
       " '下不来',\n",
       " '下午',\n",
       " '下单',\n",
       " '下回',\n",
       " '下方',\n",
       " '下架',\n",
       " '下次',\n",
       " '下水道',\n",
       " '不上',\n",
       " '不下',\n",
       " '不买',\n",
       " '不了',\n",
       " '不值',\n",
       " '不像',\n",
       " '不到',\n",
       " '不在意',\n",
       " '不多',\n",
       " '不多得',\n",
       " '不太',\n",
       " '不太会',\n",
       " '不太好',\n",
       " '不太给力',\n",
       " '不好',\n",
       " '不好意思',\n",
       " '不少',\n",
       " '不差',\n",
       " '不得不',\n",
       " '不怎么',\n",
       " '不怎么样',\n",
       " '不想',\n",
       " '不感兴趣',\n",
       " '不愧',\n",
       " '不扎人',\n",
       " '不放',\n",
       " '不敢恭维',\n",
       " '不敢相信',\n",
       " '不时之需',\n",
       " '不来',\n",
       " '不爱写',\n",
       " '不用',\n",
       " '不用说',\n",
       " '不知',\n",
       " '不算',\n",
       " '不粑',\n",
       " '不能根除',\n",
       " '不行',\n",
       " '不见',\n",
       " '不谈',\n",
       " '不贵',\n",
       " '不赖',\n",
       " '不透气',\n",
       " '不錯',\n",
       " '不错',\n",
       " '不香',\n",
       " '与日俱增',\n",
       " '专业',\n",
       " '专卖',\n",
       " '专属',\n",
       " '专用',\n",
       " '业务员',\n",
       " '东东',\n",
       " '东西',\n",
       " '丢掉',\n",
       " '丢进',\n",
       " '两三个',\n",
       " '两三天',\n",
       " '两个',\n",
       " '两份',\n",
       " '两位',\n",
       " '两只',\n",
       " '两周',\n",
       " '两天',\n",
       " '两小',\n",
       " '两张',\n",
       " '两支',\n",
       " '两次',\n",
       " '两盒',\n",
       " '两种',\n",
       " '两边',\n",
       " '严实',\n",
       " '个体',\n",
       " '个头',\n",
       " '个安速',\n",
       " '个屋',\n",
       " '个把月',\n",
       " '中午',\n",
       " '中型',\n",
       " '中文',\n",
       " '中是',\n",
       " '中毒',\n",
       " '丰巢',\n",
       " '临时',\n",
       " '为止',\n",
       " '主动',\n",
       " '主观',\n",
       " '主题',\n",
       " '之中',\n",
       " '之恨',\n",
       " '之间',\n",
       " '乐观',\n",
       " '乖乖',\n",
       " '九月',\n",
       " '也许',\n",
       " '习惯',\n",
       " '习惯性',\n",
       " '买买',\n",
       " '买二送',\n",
       " '买些',\n",
       " '买六到',\n",
       " '买回来',\n",
       " '买好',\n",
       " '买家',\n",
       " '买少',\n",
       " '买得',\n",
       " '买来',\n",
       " '买能',\n",
       " '买药',\n",
       " '买过',\n",
       " '买迟',\n",
       " '买错',\n",
       " '乱打',\n",
       " '乱飞',\n",
       " '事实上',\n",
       " '事情',\n",
       " '二十只',\n",
       " '二天',\n",
       " '二套',\n",
       " '二次',\n",
       " '五个',\n",
       " '五六个',\n",
       " '五分',\n",
       " '五十块',\n",
       " '五十多',\n",
       " '五块',\n",
       " '五星',\n",
       " '五颗星',\n",
       " '产品',\n",
       " '产品安全',\n",
       " '产品描述',\n",
       " '产品质量',\n",
       " '京东',\n",
       " '亲们',\n",
       " '亲眼看到',\n",
       " '亲自',\n",
       " '人之心',\n",
       " '人体',\n",
       " '人员',\n",
       " '人生',\n",
       " '人类',\n",
       " '人群',\n",
       " '人造革',\n",
       " '仅仅',\n",
       " '仅供参考',\n",
       " '今天天气',\n",
       " '今年夏天',\n",
       " '今早',\n",
       " '今晚',\n",
       " '介绍',\n",
       " '从不',\n",
       " '从始至终',\n",
       " '从来',\n",
       " '从没',\n",
       " '仔多',\n",
       " '仔细',\n",
       " '仔细阅读',\n",
       " '他家',\n",
       " '仙女',\n",
       " '令人',\n",
       " '以备',\n",
       " '以解',\n",
       " '仰视',\n",
       " '仰首',\n",
       " '价格',\n",
       " '价格便宜',\n",
       " '价格比',\n",
       " '价美物廉',\n",
       " '价钱',\n",
       " '任何人',\n",
       " '任重而道远',\n",
       " '企业主',\n",
       " '众多',\n",
       " '优惠',\n",
       " '优秀',\n",
       " '会少',\n",
       " '会常',\n",
       " '会生',\n",
       " '会越',\n",
       " '会长',\n",
       " '会飞',\n",
       " '伤害',\n",
       " '估计',\n",
       " '但用',\n",
       " '位置',\n",
       " '低价',\n",
       " '低落',\n",
       " '住满',\n",
       " '体会',\n",
       " '体贴',\n",
       " '体验',\n",
       " '佛系',\n",
       " '作用',\n",
       " '你家',\n",
       " '佩服',\n",
       " '佳绩',\n",
       " '使用方便',\n",
       " '依然',\n",
       " '侧面',\n",
       " '便宜',\n",
       " '便捷',\n",
       " '保存',\n",
       " '保证',\n",
       " '保证质量',\n",
       " '保质期',\n",
       " '保障',\n",
       " '信不信',\n",
       " '信任',\n",
       " '信佛',\n",
       " '信息',\n",
       " '信手拈来',\n",
       " '信赖',\n",
       " '俩个',\n",
       " '倒霉',\n",
       " '借助',\n",
       " '值得',\n",
       " '假一看',\n",
       " '假货',\n",
       " '做工',\n",
       " '做生意',\n",
       " '停不下来',\n",
       " '停留',\n",
       " '健康',\n",
       " '偶尔',\n",
       " '偷偷',\n",
       " '偷吃',\n",
       " '偷懒',\n",
       " '储藏间',\n",
       " '催人泪下',\n",
       " '傻傻的',\n",
       " '儿料',\n",
       " '元多',\n",
       " '先咯',\n",
       " '先抓',\n",
       " '先是',\n",
       " '先用',\n",
       " '先给',\n",
       " '先进个人',\n",
       " '光临',\n",
       " '光腿',\n",
       " '光顾',\n",
       " '克星',\n",
       " '免得',\n",
       " '入住',\n",
       " '入口',\n",
       " '入手',\n",
       " '全军覆没',\n",
       " '全家',\n",
       " '全家老小',\n",
       " '全是',\n",
       " '全村人',\n",
       " '全灭',\n",
       " '全网',\n",
       " '全都',\n",
       " '全靠',\n",
       " '八个',\n",
       " '八九',\n",
       " '八只',\n",
       " '八张',\n",
       " '公司',\n",
       " '公婆',\n",
       " '六个',\n",
       " '六只',\n",
       " '兰兰',\n",
       " '共同爱好',\n",
       " '关注',\n",
       " '关键',\n",
       " '养草',\n",
       " '内涵',\n",
       " '内衣',\n",
       " '再也',\n",
       " '再创',\n",
       " '再多放',\n",
       " '再接再厉',\n",
       " '再有',\n",
       " '再来',\n",
       " '再次',\n",
       " '再评',\n",
       " '再试一次',\n",
       " '冒出来',\n",
       " '写下',\n",
       " '写作技巧',\n",
       " '农药',\n",
       " '冬天',\n",
       " '冬眠',\n",
       " '冰柜',\n",
       " '冰箱',\n",
       " '冲着',\n",
       " '决心',\n",
       " '冻死',\n",
       " '凉快',\n",
       " '减少',\n",
       " '凝胶',\n",
       " '几个',\n",
       " '几件',\n",
       " '几十个',\n",
       " '几十只',\n",
       " '几只',\n",
       " '几块钱',\n",
       " '几天',\n",
       " '几年',\n",
       " '几支',\n",
       " '几次',\n",
       " '几盒',\n",
       " '出不来',\n",
       " '出乎',\n",
       " '出人意料',\n",
       " '出击',\n",
       " '出口',\n",
       " '出差',\n",
       " '出末',\n",
       " '出没',\n",
       " '分享',\n",
       " '分散',\n",
       " '分类',\n",
       " '分给',\n",
       " '划算',\n",
       " '刚买',\n",
       " '刚出生',\n",
       " '刚刚',\n",
       " '刚到',\n",
       " '刚才',\n",
       " '刚放',\n",
       " '刚放上',\n",
       " '刚放好',\n",
       " '刚用',\n",
       " '创新能力',\n",
       " '判断',\n",
       " '别乱',\n",
       " '别人',\n",
       " '别像',\n",
       " '别家',\n",
       " '到位',\n",
       " '到处',\n",
       " '到处跑',\n",
       " '到家',\n",
       " '到底',\n",
       " '到时候',\n",
       " '到期',\n",
       " '到货',\n",
       " '刺激',\n",
       " '刺鼻',\n",
       " '刻骨',\n",
       " '前两天',\n",
       " '前买过',\n",
       " '前年',\n",
       " '前提',\n",
       " '前方',\n",
       " '前段时间',\n",
       " '前赴后继',\n",
       " '剩下',\n",
       " '办公室',\n",
       " '办公桌',\n",
       " '办法',\n",
       " '功底',\n",
       " '功能',\n",
       " '功能强大',\n",
       " '加上',\n",
       " '加油',\n",
       " '加薪',\n",
       " '加量',\n",
       " '动弹',\n",
       " '动手',\n",
       " '动着',\n",
       " '努力',\n",
       " '勤奋',\n",
       " '包别',\n",
       " '包得',\n",
       " '包括',\n",
       " '包装',\n",
       " '包装盒',\n",
       " '包裹',\n",
       " '化妆台',\n",
       " '化学药品',\n",
       " '北北',\n",
       " '北北人',\n",
       " '北北超',\n",
       " '北方',\n",
       " '医院',\n",
       " '十万个',\n",
       " '十个',\n",
       " '十元',\n",
       " '十八代',\n",
       " '十几',\n",
       " '十几个',\n",
       " '十几只',\n",
       " '十分满意',\n",
       " '十多个',\n",
       " '十多只',\n",
       " '十张',\n",
       " '十来',\n",
       " '十足',\n",
       " '升华',\n",
       " '午饭',\n",
       " '半个',\n",
       " '半只',\n",
       " '半夜',\n",
       " '半天',\n",
       " '半辈子',\n",
       " '华丽',\n",
       " '单买',\n",
       " '单位',\n",
       " '卖家',\n",
       " '南方',\n",
       " '南门',\n",
       " '卧室',\n",
       " '卫生',\n",
       " '卫生间',\n",
       " '危害',\n",
       " '即刻',\n",
       " '卵巢',\n",
       " '历经',\n",
       " '厉害',\n",
       " '压力',\n",
       " '压坏',\n",
       " '压扁',\n",
       " '厌恶',\n",
       " '厕所',\n",
       " '原因',\n",
       " '原故',\n",
       " '原有',\n",
       " '原理',\n",
       " '原装',\n",
       " '厨房',\n",
       " '去年',\n",
       " '去掉',\n",
       " '去数',\n",
       " '去皮',\n",
       " '去除',\n",
       " '参加',\n",
       " '参考',\n",
       " '双十',\n",
       " '双管齐下',\n",
       " '反复',\n",
       " '反正',\n",
       " '反而',\n",
       " '反馈',\n",
       " '反驳',\n",
       " '发实图',\n",
       " '发挥作用',\n",
       " '发毛',\n",
       " '发现',\n",
       " '发票',\n",
       " '发货',\n",
       " '发错',\n",
       " '取决于',\n",
       " '受不了',\n",
       " '受骗',\n",
       " '变冷',\n",
       " '变化',\n",
       " '变少',\n",
       " '变得',\n",
       " '变态',\n",
       " '只会',\n",
       " '只好',\n",
       " '只怪',\n",
       " '只想',\n",
       " '只放',\n",
       " '只望',\n",
       " '只能',\n",
       " '可不',\n",
       " '可不可以',\n",
       " '可怕',\n",
       " '可恨',\n",
       " '可恶',\n",
       " '可惜',\n",
       " '可爱',\n",
       " '可谓',\n",
       " '可道',\n",
       " '司机',\n",
       " '吃零食',\n",
       " '各放',\n",
       " '合作',\n",
       " '合身',\n",
       " '合适',\n",
       " '同事',\n",
       " '同意',\n",
       " '同是',\n",
       " '同款',\n",
       " '同类',\n",
       " '同类产品',\n",
       " '名不虚传',\n",
       " '名字',\n",
       " '后代',\n",
       " '后用',\n",
       " '后续',\n",
       " '吐吐',\n",
       " '吓一跳',\n",
       " '吓了一跳',\n",
       " '吓人',\n",
       " '吓呆了',\n",
       " '吓坏',\n",
       " '吓死',\n",
       " '吓跑',\n",
       " '听说',\n",
       " '吸引',\n",
       " '吸引力',\n",
       " '呜呜',\n",
       " '周到',\n",
       " '周折',\n",
       " '味儿',\n",
       " '味滋源',\n",
       " '味道',\n",
       " '呵呵',\n",
       " '咋样',\n",
       " '和谐',\n",
       " '咖啡机',\n",
       " '品牌',\n",
       " '品种',\n",
       " '品质',\n",
       " '哄哄',\n",
       " '哇塞',\n",
       " '哈哈哈',\n",
       " '哈哈哈哈',\n",
       " '哪有',\n",
       " '哪来',\n",
       " '哪种',\n",
       " '售后',\n",
       " '售后服务',\n",
       " '唯一',\n",
       " '商品',\n",
       " '商品质量',\n",
       " '商家',\n",
       " '啥事',\n",
       " '善待',\n",
       " '喋喋不休',\n",
       " '喜欢',\n",
       " '喷剂',\n",
       " '喷药',\n",
       " '喷雾',\n",
       " '嘻嘻',\n",
       " '嘿嘿嘿',\n",
       " '四个',\n",
       " '四五十只',\n",
       " '四五只',\n",
       " '四只',\n",
       " '四处',\n",
       " '四天',\n",
       " '四次',\n",
       " '回复',\n",
       " '回复人',\n",
       " '回头',\n",
       " '回头客',\n",
       " '回家',\n",
       " '回来',\n",
       " '回答',\n",
       " '回购',\n",
       " '回顾',\n",
       " '囤货',\n",
       " '困扰',\n",
       " '围剿',\n",
       " '国产',\n",
       " '国内',\n",
       " '图一是',\n",
       " '图图',\n",
       " '图天',\n",
       " '图太多',\n",
       " '图是',\n",
       " '图片',\n",
       " '图示',\n",
       " '土图',\n",
       " '土豆',\n",
       " '在家',\n",
       " '在线',\n",
       " '在线教育',\n",
       " '地上',\n",
       " '地区',\n",
       " '地好',\n",
       " '地摊',\n",
       " '地方',\n",
       " '地漏',\n",
       " '地瓜干',\n",
       " '地道',\n",
       " '地面',\n",
       " '坏话',\n",
       " '坐标',\n",
       " '坐等',\n",
       " '坑人',\n",
       " '块钱',\n",
       " '坚持下去',\n",
       " '坚果',\n",
       " '垃圾',\n",
       " '垃圾桶',\n",
       " '城市',\n",
       " '基本上',\n",
       " '塌下来',\n",
       " '塑料袋',\n",
       " '填上',\n",
       " '墙缝',\n",
       " '增加',\n",
       " '壁虎',\n",
       " '壮观',\n",
       " '处处',\n",
       " '备用',\n",
       " '复制',\n",
       " '复制到',\n",
       " '复发',\n",
       " '复购',\n",
       " '夏天',\n",
       " '夏威夷',\n",
       " '外力',\n",
       " '外壳',\n",
       " '外形',\n",
       " '外面',\n",
       " '多一些',\n",
       " '多个',\n",
       " '多买',\n",
       " '多出',\n",
       " '多只',\n",
       " '多多',\n",
       " '多天',\n",
       " '多字',\n",
       " '多年',\n",
       " '多放',\n",
       " '多款',\n",
       " '多用',\n",
       " '多管齐下',\n",
       " '够不够',\n",
       " '够买',\n",
       " '够用',\n",
       " '大个子',\n",
       " '大厅',\n",
       " '大叫',\n",
       " '大吃一惊',\n",
       " '大哥',\n",
       " '大多',\n",
       " '大大小小',\n",
       " '大学',\n",
       " '大家伙',\n",
       " '大小',\n",
       " '大忙',\n",
       " '大快人心',\n",
       " '大扫除',\n",
       " '大拇指',\n",
       " '大摇大摆',\n",
       " '大概',\n",
       " '大点',\n",
       " '大片',\n",
       " '大白天',\n",
       " '大获全胜',\n",
       " '大部分',\n",
       " '天下无敌',\n",
       " '天冷',\n",
       " '天壤之别',\n",
       " '天天',\n",
       " '天天向上',\n",
       " '天暖',\n",
       " '天气',\n",
       " '天然',\n",
       " '天猫',\n",
       " '天耶',\n",
       " '天雷',\n",
       " '太假',\n",
       " '太冷',\n",
       " '太多',\n",
       " '太多太多',\n",
       " '太大',\n",
       " '太好',\n",
       " '太好了',\n",
       " '太小',\n",
       " '太少',\n",
       " '太差',\n",
       " '太强',\n",
       " '太强大',\n",
       " '太忙',\n",
       " '太快',\n",
       " '太怕',\n",
       " '太慢',\n",
       " '太棒了',\n",
       " '太浅',\n",
       " '太牛',\n",
       " '太累',\n",
       " '太给力',\n",
       " '太行',\n",
       " '太贵',\n",
       " '太香',\n",
       " '太高',\n",
       " '失恋',\n",
       " '失望',\n",
       " '头疼',\n",
       " '头皮发麻',\n",
       " '夸张',\n",
       " '夹起来',\n",
       " '夹里',\n",
       " '奇怪',\n",
       " '奇怪的是',\n",
       " '奋斗',\n",
       " '套餐',\n",
       " '女人',\n",
       " '女儿',\n",
       " '女生',\n",
       " '奶奶',\n",
       " '奶奶家',\n",
       " '她家',\n",
       " '好不好',\n",
       " '好久',\n",
       " '好些',\n",
       " '好会',\n",
       " '好使',\n",
       " '好像',\n",
       " '好几',\n",
       " '好几个',\n",
       " '好几只',\n",
       " '好几种',\n",
       " '好吃',\n",
       " '好多',\n",
       " '好多个',\n",
       " '好多天',\n",
       " '好多好多',\n",
       " '好太多',\n",
       " '好好',\n",
       " '好好学习',\n",
       " '好意思',\n",
       " '好手',\n",
       " '好极了',\n",
       " '好烦',\n",
       " '好用',\n",
       " '好看',\n",
       " '好装',\n",
       " '好评',\n",
       " '好评率',\n",
       " '如图',\n",
       " '如果说',\n",
       " '妈呀',\n",
       " '妙笔生花',\n",
       " '妥善处理',\n",
       " '妥妥',\n",
       " '妨碍',\n",
       " '妮妮',\n",
       " '姑娘',\n",
       " '姿势',\n",
       " '娃娃',\n",
       " '媳妇',\n",
       " '嫂子',\n",
       " '子子孙孙',\n",
       " '字字',\n",
       " '季节',\n",
       " '孩子',\n",
       " '孵出',\n",
       " '孵化',\n",
       " '它会',\n",
       " '守信用',\n",
       " '安全卫生',\n",
       " '安全性',\n",
       " '安利',\n",
       " '安安',\n",
       " '安心',\n",
       " '安排',\n",
       " '安装',\n",
       " '安装简单',\n",
       " '安速',\n",
       " '安逸',\n",
       " '完会',\n",
       " '完全一致',\n",
       " '完单',\n",
       " '完后',\n",
       " '完好',\n",
       " '完好无损',\n",
       " '完整',\n",
       " '完美',\n",
       " '完药',\n",
       " '宝宝',\n",
       " '宝贝',\n",
       " '实体店',\n",
       " '实在',\n",
       " '实在话',\n",
       " '实实在在',\n",
       " '实惠',\n",
       " '实物',\n",
       " '实物图',\n",
       " '实用',\n",
       " '实话',\n",
       " '实话实说',\n",
       " '实际上',\n",
       " '客厅',\n",
       " '客户',\n",
       " '客服',\n",
       " '害怕',\n",
       " '害虫',\n",
       " '家中',\n",
       " '家好',\n",
       " '家庭',\n",
       " '家族',\n",
       " '家晚',\n",
       " '家有',\n",
       " '家用',\n",
       " '家里',\n",
       " '宿舍',\n",
       " '寄到',\n",
       " '寄来',\n",
       " '密密麻麻',\n",
       " '密集',\n",
       " '寝室',\n",
       " '寡人',\n",
       " '对付',\n",
       " '对得起',\n",
       " '对比',\n",
       " '将近',\n",
       " '小东西',\n",
       " '小伙伴',\n",
       " '小包',\n",
       " '小区',\n",
       " '小哥',\n",
       " '小型',\n",
       " '小孩',\n",
       " '小宝',\n",
       " '小家伙',\n",
       " '小小',\n",
       " '小小的',\n",
       " '小屋',\n",
       " '小崽子',\n",
       " '小巧',\n",
       " '小強',\n",
       " '小强',\n",
       " '小心',\n",
       " '小懒',\n",
       " '小时',\n",
       " '小林',\n",
       " '小盒子',\n",
       " '小红书',\n",
       " '小老虎',\n",
       " '小老鼠',\n",
       " '小虫子',\n",
       " '小贵',\n",
       " '少多',\n",
       " '少太多',\n",
       " '少点',\n",
       " '尝试',\n",
       " '就别',\n",
       " '就算',\n",
       " '就行了',\n",
       " '就试',\n",
       " '尸体',\n",
       " '尺寸',\n",
       " '尽快',\n",
       " '尽然',\n",
       " '尽量',\n",
       " '居然',\n",
       " '屋上',\n",
       " '屋买二送',\n",
       " '屋亲测',\n",
       " '屋到',\n",
       " '屋头',\n",
       " '屋子',\n",
       " '屋子里',\n",
       " '屋帮',\n",
       " '屋是',\n",
       " '屋比',\n",
       " '屋没到',\n",
       " '屋能',\n",
       " '屋贵',\n",
       " ...]"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "id": "0a85afc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "蟑螂      621\n",
       "效果      441\n",
       "不错      273\n",
       "小强      191\n",
       "好评      167\n",
       "       ... \n",
       "买来       16\n",
       "便宜       16\n",
       "价格       16\n",
       "一如既往     16\n",
       "淘宝       15\n",
       "Length: 100, dtype: int64"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importance_words = Series(data=matrix.toarray()[0], index=\\\n",
    "              cv.get_feature_names()).sort_values(ascending=False)[:100]\n",
    "importance_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "82906997",
   "metadata": {},
   "outputs": [],
   "source": [
    "import wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "924cee89",
   "metadata": {},
   "outputs": [],
   "source": [
    "wc = wordcloud.WordCloud(font_path='./data/SimHei.ttf', \n",
    "                         max_words=100, \n",
    "                         min_font_size=10,\n",
    "                        background_color='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "e5f91801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x1b640e4b048>"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wc.generate_from_frequencies(importance_words)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "54643aa7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1b6421b0348>"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 6), dpi=120)\n",
    "plt.imshow(wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12ede902",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "165px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
